Clinical evidence and questions
High
Medical search and clinical decision-support AI that synthesizes peer-reviewed evidence for clinicians.
- Use case
- Evidence-backed clinical questions and medical literature synthesis
- Audience
- Verified clinicians, medical researchers, and healthcare professionals
Clinical evidence and questions
High
Elsevier clinical decision-support product that combines conversational search with evidence-based content and cited references.
- Use case
- Generative AI clinical question answering grounded in licensed medical reference content
- Audience
- Clinicians, pharmacists, medical librarians, and health-system teams using Elsevier clinical content
Clinical evidence and questions
High
Generative AI clinical decision-support experience built on UpToDate content with traceable answers, assumptions, and source links.
- Use case
- Conversational clinical question answering grounded in UpToDate content, assumptions, source links, and clinician review
- Audience
- Clinicians, trainees, and health systems already using UpToDate for clinical decision support
Clinical evidence and questions
High
AI mode for EBSCO clinical decision-support products that retrieves answers from expert-curated DynaMed, DynaMedex, and Dynamic Health content.
- Use case
- AI-assisted evidence retrieval and clinical question answering inside EBSCO clinical decision-support content
- Audience
- Clinicians, nurses, allied health professionals, librarians, and institutions using DynaMed, DynaMedex, or Dynamic Health
Clinical evidence and questions
High
AI-powered clinical decision-support and ambient-scribing platform that drafts differentials, plans, notes, and cited clinical answers for clinician review.
- Use case
- AI-powered clinical decision support, ambient scribing, real-time encounter insights, differential diagnosis drafts, assessment and plan drafts, evidence-backed answers, documentation generation, and developer API workflows
- Audience
- Clinicians, care teams, clinical workflow software teams, telehealth platforms, EHR builders, and governance teams evaluating AI clinical decision support
Clinical evidence and questions
Medium
Research assistant focused on finding and summarizing scientific evidence, including medical research.
- Use case
- Medical research discovery, study snapshots, and evidence-backed answers
- Audience
- Researchers, clinicians, students, and medical writers
Clinical evidence and questions
Medium
AI research assistant for literature review workflows, including systematic reviews.
- Use case
- Systematic-review search, screening, extraction, and research-backed reports
- Audience
- Researchers, evidence synthesis teams, and students
Clinical evidence and questions
Medium
AI research assistant built around verified citation statements and citation context.
- Use case
- Citation-context search, paper evaluation, and AI research synthesis
- Audience
- Researchers, clinicians, librarians, and students
Clinical evidence and questions
Medium to high
Evidence platform and agentic workflow for generating and surfacing real-world evidence in clinical settings.
- Use case
- Real-world evidence generation, clinical evidence agents, and EHR-connected evidence support
- Audience
- Clinicians, academic medical centers, life-sciences teams, and health systems
Clinical evidence and questions
Medium to high
Doximity's clinician AI assistant for evidence-referenced answers and administrative writing tasks inside the Doximity workflow.
- Use case
- HIPAA-compliant clinician assistant for clinical questions, patient education, chart note templates, translation, and document drafting
- Audience
- Verified U.S. clinicians, pharmacists, CRNAs, podiatrists, and medical students using Doximity
Clinical evidence and questions
Medium to high
UK-focused medical information platform that uses AI modes to help clinicians search trusted clinical sources and verify answers against source material.
- Use case
- AI-assisted clinical information search across trusted sources, guidance, literature, UK drug references, and uploaded or recorded context
- Audience
- UK healthcare professionals looking up trusted clinical guidance, literature, drug information, and local pathway content
Clinical evidence and questions
Medium to high
Clinical decision support platform for building and deploying point-of-care pathways, calculators, and AI-assisted clinician workflows.
- Use case
- AI-assisted clinical decision support, local guideline workflows, medical calculators, pathways, and clinician-facing care algorithms
- Audience
- Clinicians, quality leaders, medical directors, care-management teams, and health systems deploying point-of-care clinical pathways
Clinical evidence and questions
Medium to high
Visual clinical decision support platform with differential diagnosis, evidence-based reference content, a medical image library, and AI-powered dermatology support.
- Use case
- Visual clinical decision support, differential diagnosis building, dermatology image analysis, medical image reference, and AI-assisted clinical education workflows
- Audience
- Clinicians, medical educators, urgent care teams, dermatology programs, primary care groups, emergency departments, and health systems evaluating visual clinical decision support
Clinical evidence and questions
High
Machine-learning differential diagnosis tool that turns presenting clinical features into a clinician-reviewed list of possible diagnoses with evidence reference links.
- Use case
- Differential diagnosis generation, symptom-to-disease matching, EMR-integrated clinical feature extraction, and evidence-linked diagnostic reasoning support
- Audience
- Clinicians, medical educators, health systems, emergency departments, primary care teams, and EHR workflow leaders evaluating differential diagnosis support
Clinical evidence and questions
Medium to high
Agentic AI platform for life-sciences research that combines biomedical evidence retrieval, knowledge graphs, and governed scientific workflow automation.
- Use case
- Agentic biomedical research, evidence retrieval, knowledge-graph exploration, target assessment, and scientific workflow automation
- Audience
- Life-sciences R&D, medical affairs, translational science, regulatory evidence, and biomedical research teams
Clinical evidence and questions
Medium to high
AMBOSS AI Mode adds clinician-designed AI search and study-copilot workflows on top of the AMBOSS medical knowledge and learning platform.
- Use case
- AI-assisted clinical evidence search, medical question answering, study support, trusted-content navigation, and practice-focused reference workflows
- Audience
- Clinicians, medical students, educators, residency programs, and institutions using AMBOSS for clinical knowledge or learning workflows
Clinical documentation and scribes
Lower to medium
Ambient AI platform for clinical documentation with provenance and clinician review workflows.
- Use case
- Ambient clinical documentation and clinician-reviewed note drafts
- Audience
- Clinicians, health systems, and clinical operations teams
Clinical documentation and scribes
Lower to medium
Ambient AI platform for documentation and coding workflows across many specialties.
- Use case
- Real-time clinical documentation, coding, and CDI support
- Audience
- Health systems and clinicians across specialties
Clinical documentation and scribes
Lower to medium
Ambient clinical documentation product from Nuance/Microsoft that drafts clinical notes from patient conversations.
- Use case
- Ambient clinical documentation automation for EHR workflows
- Audience
- Healthcare organizations using Microsoft and Nuance clinical documentation workflows
Clinical documentation and scribes
Lower to medium
Microsoft clinical AI workspace that combines Dragon dictation, DAX ambient documentation, role-based workflows, EHR integration, and task automation.
- Use case
- Role-based clinical AI assistant for documentation, information surfacing, reporting, coding suggestions, and workflow automation
- Audience
- Physicians, nurses, radiologists, health systems, and teams using Microsoft clinical workflow products
Clinical documentation and scribes
Medium to high
Oracle Health AI agent suite that drafts documentation, summarizes charts, coordinates workflows, and connects clinical, operational, and financial data inside Oracle Health environments.
- Use case
- EHR-connected clinical AI agent for chart review, documentation, scheduling, patient access, care coordination, and operational workflows
- Audience
- Oracle Health EHR customers, clinicians, nurses, administrators, and healthcare operations teams
Clinical documentation and scribes
Lower to medium
HIPAA-eligible AWS service that combines speech recognition and generative AI so builders can create clinician-reviewed draft notes from patient-clinician conversations.
- Use case
- API-based ambient transcription, clinical note drafting, and transcript-linked evidence mapping
- Audience
- Healthcare software vendors, digital health builders, and health systems building their own documentation applications
Clinical documentation and scribes
Lower to medium
Ambient AI medical scribe that records clinician-patient conversations, drafts specialty-specific notes, syncs documentation into EHR workflows, and offers pre-charting and coding support.
- Use case
- Ambient AI scribing, specialty-specific clinical notes, pre-visit chart synthesis, EHR synchronization, and coding-support workflows
- Audience
- Specialty care groups, ambulatory practices, health systems, oncology, cardiology, gastroenterology, neurology, orthopedics, urology, and revenue integrity teams
Clinical documentation and scribes
Lower to medium
AI assistant for clinical documentation and related workflows with EHR integration.
- Use case
- Ambient documentation, coding support, clinical reasoning, and Q&A
- Audience
- Clinicians and health systems
Clinical documentation and scribes
Lower to medium
AI scribe and clinician assistant for encounter documentation across care settings.
- Use case
- AI scribe, live transcript, note drafts, and EHR-connected documentation
- Audience
- Clinicians in outpatient, inpatient, and telehealth settings
Clinical documentation and scribes
Lower to medium
AI medical scribe marketed to clinicians who want faster SOAP note creation.
- Use case
- AI scribe for SOAP notes and visit documentation
- Audience
- Individual clinicians and smaller practices
Clinical documentation and scribes
Lower to medium
AI care partner platform with scribe, evidence, and communications features for clinician workflows.
- Use case
- AI medical scribe, clinical note generation, evidence search, and patient communications support
- Audience
- Clinicians, practices, and healthcare organizations evaluating scribe, evidence, and communications workflows
Clinical documentation and scribes
Lower to medium
Specialty-specific AI scribe built into ModMed's EMA EHR for note and code suggestions after clinician review.
- Use case
- Ambient clinical documentation, structured note suggestions, billing code suggestions, and downstream EHR workflow automation
- Audience
- Specialty practices using ModMed EMA EHR and AI-powered practice workflows
Clinical documentation and scribes
Lower to medium
Ambient medical documentation company offering AI and human-assisted documentation workflows for clinicians and health systems.
- Use case
- Ambient medical documentation, live note support, after-visit documentation, and EHR-connected clinical workflow support
- Audience
- Health systems, ambulatory groups, emergency departments, clinicians, and documentation operations leaders
Clinical documentation and scribes
Lower to medium
Ambient AI documentation and clinical operations platform that captures encounters, drafts notes, and connects documentation to coding and revenue workflows.
- Use case
- Ambient AI documentation, clinician assistant workflows, care cues, macros, coding support, and EHR-connected clinical operations
- Audience
- Health systems, practices, clinicians, revenue cycle leaders, and EHR implementation teams
Clinical documentation and scribes
Lower to medium
AI ambient scribe and medical dictation platform with privacy and security materials for U.S. and Canadian clinical workflows.
- Use case
- AI ambient scribe, medical dictation, note generation, and clinician-reviewed documentation
- Audience
- Clinicians, outpatient practices, and Canadian or U.S. healthcare organizations evaluating ambient scribe and dictation workflows
Clinical documentation and scribes
Lower to medium
AI medical scribe that turns recorded clinical sessions into structured clinician-reviewed notes, with HIPAA-focused help materials.
- Use case
- AI medical scribe for structured clinical notes, therapy notes, and encounter documentation
- Audience
- Clinicians, therapists, behavioral health practices, and small medical groups evaluating AI notes and structured documentation
Clinical documentation and scribes
Lower to medium
Ambient AI assistant that captures clinical encounters and drafts clinician-reviewed documentation across web, mobile, browser-extension, API, and EHR-embedded workflows.
- Use case
- Ambient AI documentation, dictation, real-time encounter summaries, patient instructions, coding-support workflows, and EHR-embedded note generation
- Audience
- Clinicians, health systems, ambulatory groups, inpatient teams, telehealth programs, and EHR vendors evaluating ambient AI documentation
Clinical documentation and scribes
Medium
Behavioral health AI platform that drafts documentation, reviews notes for compliance risk, and supports care operations workflows for community-based care organizations.
- Use case
- Behavioral health ambient documentation, progress-note drafting, compliance review, care operations automation, session insights, and note-quality improvement
- Audience
- Community-based behavioral health organizations, substance-use programs, human services providers, compliance teams, clinical leaders, and revenue cycle teams
Clinical documentation and scribes
Lower to medium
UK-focused AI medical scribe for NHS clinicians with public privacy and compliance materials around clinical safety, data privacy, and cyber security.
- Use case
- AI medical scribe for consultation notes, transcripts, codes, and NHS-aligned documentation workflows
- Audience
- NHS clinicians, UK healthcare organizations, and clinical teams evaluating ambient scribe workflows under NHS governance
Clinical documentation and scribes
Lower to medium
Ambient clinical documentation and chart-assistance capability from NextGen Healthcare that turns clinician-patient conversations into reviewed SOAP-note drafts and related EHR suggestions.
- Use case
- Ambient visit capture, structured SOAP-note generation, patient summaries, ICD-10, medication, lab, imaging, and order suggestions inside the NextGen mobile and EHR workflow
- Audience
- Ambulatory practices, specialty groups, small practices using NextGen Office, NextGen Enterprise customers, clinicians, practice administrators, and revenue cycle teams
Medical imaging and radiology
High
Clinical AI platform for radiology and enterprise imaging workflows.
- Use case
- Radiology triage, scan analysis, care-team activation, and enterprise AI orchestration
- Audience
- Radiology departments, health systems, and clinical AI governance teams
Medical imaging and radiology
High
AI-powered care coordination platform with imaging-driven alerts across therapeutic areas.
- Use case
- AI-powered care coordination around suspected disease detection and specialist activation
- Audience
- Hospitals, stroke teams, cardiology, vascular, and life-sciences teams
Medical imaging and radiology
High
Clinical AI governance and deployment platform for health systems adopting multiple imaging or clinical AI models.
- Use case
- Clinical AI governance suite for deploying, monitoring, validating, and managing imaging and other clinical AI models across existing infrastructure
- Audience
- Health systems, radiology leaders, imaging IT teams, clinical AI governance committees, and service-line operators deploying multiple AI models
Medical imaging and radiology
High
Enterprise medical imaging AI platform for evaluating, deploying, routing, and monitoring multiple radiology AI applications.
- Use case
- Enterprise radiology AI orchestration, relevancy routing, curated marketplace access, deployment monitoring, and AI application management
- Audience
- Radiology departments, enterprise imaging teams, PACS administrators, and health systems deploying multiple imaging AI applications
Medical imaging and radiology
High
FDA-cleared enterprise imaging AI platform and marketplace for accessing, validating, deploying, viewing, and monitoring radiology AI applications.
- Use case
- Enterprise radiology AI marketplace, DICOM image viewing, PACS-integrated algorithm orchestration, pre-deployment validation, clinical deployment, and post-deployment monitoring
- Audience
- Radiology departments, imaging IT teams, PACS administrators, AI governance committees, and health systems deploying multiple radiology AI applications
Medical imaging and radiology
High
Radiology AI operating system and marketplace platform for deploying, routing, evaluating, and monitoring multiple imaging AI applications.
- Use case
- Vendor-neutral radiology AI operating system for evaluating, integrating, orchestrating, monitoring, and scaling multiple imaging AI solutions
- Audience
- Radiology departments, imaging IT leaders, healthcare executives, and AI governance teams deploying multiple radiology AI applications
Medical imaging and radiology
Medium to high
AI-powered medical imaging data standardization product that normalizes study and series descriptions so imaging archives can route, display, bill, and support analytics more consistently.
- Use case
- AI-enabled DICOM data standardization, imaging metadata cleanup, hanging-protocol consistency, image routing, billing-data completeness, and research-ready archive preparation
- Audience
- Radiology departments, PACS administrators, imaging IT teams, researchers, and health-system data leaders managing large DICOM archives
Medical imaging and radiology
High
Stroke imaging AI platform that supports real-time interpretation of brain scans and stroke-network coordination.
- Use case
- AI-enabled CT, CTA, MRI, and mobile stroke workflow support for suspected acute stroke assessment and transfer decisions
- Audience
- Stroke centers, emergency departments, neuroradiology teams, transfer networks, and health systems coordinating acute stroke pathways
Medical imaging and radiology
High
FDA-cleared computer-aided diagnosis software from Avicenna.AI that calculates ASPECTS from non-contrast head CT and supports clinician assessment of acute ischemic stroke severity.
- Use case
- AI-assisted ASPECTS scoring and heat-map support on non-contrast head CT for suspected acute ischemic stroke assessment
- Audience
- Stroke centers, emergency departments, radiologists, stroke physicians, neuroradiology teams, and health systems evaluating acute ischemic stroke CT workflows
Medical imaging and radiology
High
Medical imaging AI platform used for disease detection and care pathways.
- Use case
- Chest X-ray, CT, lung cancer, tuberculosis, and stroke imaging workflows
- Audience
- Health systems, public-health programs, radiology teams, and global-health deployments
Medical imaging and radiology
High
Chest X-ray AI product from Qure.ai for pre-read assistance, abnormality detection, overlays, reporting support, and triage-oriented CXR workflows.
- Use case
- AI-assisted chest X-ray pre-read, worklist prioritization, abnormality detection, reporting support, and screening workflows
- Audience
- Radiology departments, emergency departments, public-health screening programs, teleradiology groups, and health systems evaluating chest X-ray AI
Medical imaging and radiology
High
CE Class IIb autonomous chest X-ray AI workflow positioned to identify normal studies and generate reports without radiologist review in selected markets.
- Use case
- Autonomous reporting of high-confidence normal chest X-ray studies, chest radiograph triage, and radiologist workload reduction
- Audience
- Radiology departments, imaging networks, chest X-ray services, and governance teams evaluating autonomous normal-CXR reporting
Medical imaging and radiology
Medium to high
Generative AI radiology reporting software for drafting findings-based reports, reducing repetitive dictation, and supporting radiologist-reviewed final reports.
- Use case
- Radiology report drafting, impression generation, consensus-guideline insertion, and reporting workflow automation
- Audience
- Radiologists, radiology practices, imaging groups, and health-system radiology IT teams
Medical imaging and radiology
Medium to high
Radiology follow-up management product that identifies follow-up recommendations in reports, routes provider or patient communication, and tracks resolution through dashboards.
- Use case
- AI-assisted detection, categorization, communication, dashboard tracking, and resolution of follow-up recommendations from radiology reports
- Audience
- Radiology groups, health systems, quality leaders, patient navigation teams, and imaging operations teams managing incidental-finding follow-up
Medical imaging and radiology
High
AI-enabled CCTA analysis platform for coronary plaque assessment and heart attack prevention workflows.
- Use case
- AI-enabled coronary CT angiography and plaque analysis
- Audience
- Cardiology teams, imaging centers, and cardiovascular risk programs
Medical imaging and radiology
High
FDA-cleared non-invasive plaque analysis software for coronary CTA workflows that reports plaque composition and vessel-level findings.
- Use case
- AI-enabled coronary CTA plaque composition and lesion-level plaque analysis
- Audience
- Cardiology teams, coronary CTA programs, imaging centers, and cardiovascular service lines
Medical imaging and radiology
High
FDA De Novo-cleared autonomous diagnostic AI for detecting more-than-mild diabetic retinopathy in eligible adults with diabetes.
- Use case
- Autonomous AI diabetic retinopathy detection from retinal images at the point of care
- Audience
- Primary care, diabetes care, ophthalmology referral networks, and health systems
Medical imaging and radiology
High
FDA-cleared autonomous diabetic retinopathy screening system that analyzes retinal images and returns patient-level and eye-level screening results.
- Use case
- Autonomous AI diabetic retinopathy screening from color retinal fundus images
- Audience
- Primary care clinics, diabetes programs, optometry groups, ophthalmology referral networks, and health systems
Medical imaging and radiology
High
FDA-cleared autonomous AI diagnostic screening system for more-than-mild diabetic retinopathy in eligible adults with diabetes.
- Use case
- Autonomous point-of-care diabetic retinopathy screening from tabletop or portable non-mydriatic fundus-camera images
- Audience
- Primary care groups, endocrinology clinics, diabetes programs, payers, and health systems closing diabetic eye-exam gaps
Medical imaging and radiology
High
FDA-cleared autonomous diabetic retinopathy screening software for moderate-or-worse diabetic retinopathy using supported robotic fundus cameras.
- Use case
- Autonomous detection of moderate-or-worse diabetic retinopathy from supported retinal fundus cameras in primary care settings
- Audience
- Primary care clinics, payer care-gap programs, diabetes programs, and health systems evaluating multi-camera diabetic retinopathy screening
Medical imaging and radiology
High
CE-marked Class IIa clinical decision-support software that quantifies retinal fluid biomarkers in OCT scans for neovascular age-related macular degeneration monitoring.
- Use case
- AI-based OCT retinal-fluid segmentation, quantification, visualization, follow-up charts, and nAMD monitoring support
- Audience
- Retina specialists, ophthalmology clinics, nAMD treatment teams, and OCT workflow leaders
Medical imaging and radiology
Medium to high
Ophthalmology data and image-management platform with certified Discovery products and AI modules for retinal imaging workflows.
- Use case
- Ophthalmology image and data platform with OCT/image management, AI enrichment, trial data collection, and retinal-disease analytics
- Audience
- Ophthalmology clinics, retina research groups, clinical-study teams, pharma teams, and real-world evidence programs
Medical imaging and radiology
High
Enterprise imaging AI platform for acute and longitudinal clinical workflows, including FDA-cleared imaging modules.
- Use case
- AI-powered imaging triage, quantification, disease detection, and care-team workflow support
- Audience
- Hospitals, radiology groups, stroke teams, vascular teams, and enterprise imaging programs
Medical imaging and radiology
High
Non-invasive AI heart-care platform for coronary CTA-derived anatomy, physiology, and plaque information.
- Use case
- AI-powered coronary CTA analysis, FFRCT physiology analysis, plaque analysis, and coronary roadmap workflows
- Audience
- Cardiology teams, coronary CTA programs, imaging centers, and cardiovascular service lines
Medical imaging and radiology
High
FDA-cleared echocardiography AI that analyzes apical four-chamber clips to support detection of heart failure with preserved ejection fraction.
- Use case
- AI-assisted echocardiography analysis for HFpEF detection support and cardiac workflow reporting
- Audience
- Cardiology, echocardiography labs, heart-failure programs, and hospital outpatient imaging teams
Medical imaging and radiology
High
FDA-cleared AI echocardiography platform that automates measurements, disease-detection support, and structured reporting from DICOM echo studies.
- Use case
- Automated transthoracic echocardiography analysis, measurement extraction, disease-detection support, and structured echo reporting
- Audience
- Cardiology teams, echocardiography labs, health systems, outpatient imaging centers, and enterprise ultrasound programs
Medical imaging and radiology
High
Radiology AI product for detecting and highlighting fractures on trauma X-rays inside clinician-reviewed reading workflows.
- Use case
- AI-assisted fracture detection and trauma X-ray second-reader workflow support
- Audience
- Radiology departments, emergency departments, orthopedic clinics, urgent care groups, and imaging networks
Medical imaging and radiology
High
Breast health AI suite for mammography detection, scoring, density assessment, and risk-related workflows.
- Use case
- AI-assisted breast cancer detection, mammography case scoring, density assessment, and short-term risk workflow support
- Audience
- Breast imaging centers, radiology groups, hospitals, and mammography programs
Medical imaging and radiology
High
Medtronic endoscopy AI module that overlays real-time markers to help endoscopists detect colonic mucosal lesions during colonoscopy.
- Use case
- Real-time computer-aided polyp detection support during standard white-light colonoscopy
- Audience
- Gastroenterology groups, endoscopy centers, hospitals, colorectal cancer screening programs, and clinical AI governance teams
Medical imaging and radiology
High
Iterative Health real-time polyp detection system that gives gastroenterologists computer-aided location information during colonoscopy.
- Use case
- Real-time AI-assisted colorectal polyp location support during adult screening or surveillance colonoscopy
- Audience
- Gastroenterology groups, ambulatory surgery centers, colorectal cancer screening programs, and endoscopy quality leaders
Medical imaging and radiology
High
Fujifilm AI-powered endoscopic imaging technology that supports real-time colonic polyp detection in compatible endoscopy workflows.
- Use case
- AI-assisted real-time detection of colonic mucosal lesions during colonoscopy with Fujifilm endoscopy systems
- Audience
- Endoscopy units, gastroenterology groups, hospitals using Fujifilm ELUXEO systems, and GI technology governance teams
Medical imaging and radiology
High
Olympus cloud-based CADDIE medical device software that assists gastroenterologists with real-time suspected colorectal polyp detection during colonoscopy.
- Use case
- Cloud-connected computer-aided detection support for suspected colorectal polyps during standard white-light colonoscopy
- Audience
- Gastroenterology groups, endoscopy centers, health systems using Olympus imaging equipment, and clinical AI governance teams
Medical imaging and radiology
High
Therapixel breast-screening AI for 2D and 3D mammography that supports radiologist-reviewed suspicious-lesion scoring and workflow assistance.
- Use case
- AI-assisted mammography reading, suspicious-lesion scoring, pre-check workflow, priors-informed review, and breast-density support
- Audience
- Breast imaging centers, radiology groups, screening programs, and health systems evaluating mammography AI
Medical imaging and radiology
High
Kheiron's Mia platform supports breast-screening workflows, including Mia Triage for double-reader triage and Mia IQ for image-quality assurance.
- Use case
- AI-supported breast screening triage, reader workflow support, image-quality review, and mammography pathway optimization
- Audience
- Breast screening programs, radiology providers, NHS and international screening services, and breast imaging governance teams
Medical imaging and radiology
High
Breast AI suite for 2D mammography and digital breast tomosynthesis workflows, including detection and density support.
- Use case
- AI-assisted breast cancer detection, density assessment, temporal comparison, and mammography workflow support
- Audience
- Breast imaging centers, screening programs, radiology groups, and health systems evaluating mammography AI
Medical imaging and radiology
High
Smart ultrasound software that analyzes breast ultrasound images and supports physician risk assessment for suspicious lesions.
- Use case
- AI-assisted risk assessment and computer-aided diagnosis support for breast ultrasound lesions
- Audience
- Breast imaging centers, diagnostic radiology groups, ultrasound clinics, and health systems using breast ultrasound
Medical imaging and radiology
High
AI imaging software company focused on improving MRI and PET image quality and acquisition workflows.
- Use case
- AI-powered MRI and PET image enhancement, denoising, acceleration, and synthetic imaging workflow support
- Audience
- Radiology departments, imaging centers, MRI programs, PET programs, and hospital imaging operations teams
Medical imaging and radiology
High
Cancer-focused medical AI company with imaging and precision-oncology products spanning Lunit INSIGHT and Lunit SCOPE workflows.
- Use case
- AI cancer screening, breast imaging, chest X-ray, precision oncology, and pathology biomarker workflows
- Audience
- Radiology, breast imaging, oncology, pathology, clinical-trial, and cancer-screening teams
Medical imaging and radiology
High
Radiology AI company offering Annalise Enterprise and Annalise Triage products for CXR and non-contrast head CT workflows.
- Use case
- Chest X-ray, non-contrast head CT, radiology triage, decision support, worklist prioritization, and draft reporting support
- Audience
- Radiology groups, emergency departments, hospitals, imaging networks, and clinical AI governance teams
Medical imaging and radiology
High
Mammography AI company with FDA-cleared cmTriage worklist-prioritization software and investigational or region-specific breast-screening tools.
- Use case
- AI-assisted mammography worklist triage and breast-screening workflow prioritization
- Audience
- Breast imaging centers, radiology groups, mammography programs, and imaging AI governance teams
Medical imaging and radiology
High
Breast tomosynthesis AI detection software from Hologic for highlighting suspicious lesions and supporting radiologist review.
- Use case
- Deep-learning computer-aided detection and case scoring for breast tomosynthesis exams
- Audience
- Breast imaging centers, radiology groups, mammography programs, and health systems using Hologic tomosynthesis workflows
Medical imaging and radiology
High
AI-guided ultrasound software from GE HealthCare that helps clinicians acquire cardiac views and supports ultrasound measurements on compatible systems.
- Use case
- AI-guided cardiac ultrasound acquisition and automated ejection-fraction support on compatible GE HealthCare ultrasound systems
- Audience
- Point-of-care ultrasound programs, emergency departments, primary care teams, cardiology services, and ultrasound training leaders
Medical imaging and radiology
High
Handheld ultrasound platform with AI-supported workflows, including FDA-cleared iQ3 hardware and a cleared blind-sweep gestational-age AI tool.
- Use case
- Handheld point-of-care ultrasound with AI-enabled workflow software and gestational-age AI tooling in eligible settings
- Audience
- Point-of-care ultrasound teams, emergency departments, women's health programs, rural clinics, global-health programs, and enterprise POCUS leaders
Medical imaging and radiology
High
FDA-cleared prenatal ultrasound AI software that helps practitioners identify fetal views, structures, and quality criteria in real time during supported exams.
- Use case
- AI-assisted fetal ultrasound acquisition support, view detection, anatomical-structure detection, and quality-criteria verification during routine prenatal exams
- Audience
- OB/GYN ultrasound practices, maternal-fetal medicine groups, sonographers, fetal surgeons, and health systems standardizing prenatal ultrasound quality
Medical imaging and radiology
High
Breast imaging AI suite from DeepHealth that includes Saige-Dx and related mammography workflow modules for AI-assisted screening interpretation and population-health operations.
- Use case
- AI-supported mammography detection, density assessment, workflow triage, risk assessment, and breast imaging worklist support across modular Breast Suite applications
- Audience
- Breast imaging centers, radiology groups, population-health screening programs, mammography operations leaders, and health systems standardizing breast cancer screening workflows
Medical imaging and radiology
High
Dental radiology AI platform for identifying and presenting findings in dental X-rays and CBCT workflows.
- Use case
- AI-assisted dental radiograph review, pathology detection, patient education, and 2D or 3D dental image analysis
- Audience
- Dental practices, dental service organizations, oral radiology teams, and dental AI governance reviewers
Medical imaging and radiology
High
Dental AI platform combining radiograph analysis, image enhancement, practice workflows, payer workflows, and patient communication.
- Use case
- FDA-cleared dental X-ray analysis, caries support, bone-level measurement, image enhancement, and dental workflow automation
- Audience
- Dental practices, DSOs, payer dental teams, dental educators, and clinical operations leaders
Medical imaging and radiology
High
Dental AI platform with Clinical Assist for FDA-cleared radiographic findings plus practice workflow products.
- Use case
- Dental X-ray AI for clinical assist, patient education, caries and periodontal findings, and practice workflow insights
- Audience
- Dental practices, DSOs, hygienists, dentists, and practice-performance teams
Medical imaging and radiology
High
Dental AI platform combining FDA-cleared radiograph detection and auto-charting with voice perio, scribe, receptionist, and practice-management workflows.
- Use case
- AI-assisted dental radiograph detection, auto-charting, voice perio charting, dental scribe documentation, and PMS-connected workflow support
- Audience
- Dental practices, DSOs, hygienists, dentists, and dental operations teams evaluating radiograph AI plus chairside documentation workflows
Medical imaging and radiology
High
Dental CBCT AI and viewer platform for radiological reports, 3D visualization, and FDA-cleared second-read support for periapical radiolucency detection.
- Use case
- AI-assisted CBCT review, radiological reports, 3D visualization, tooth charts, segmentation, and second-read support for dental professionals
- Audience
- Dental practices, oral radiologists, implant and endodontic practices, dental specialists, and DSOs using CBCT imaging
Medical imaging and radiology
High
Remote orthodontic monitoring platform that uses smartphone scans and AI to help clinicians monitor treatment progress and patient adherence between visits.
- Use case
- AI-powered remote orthodontic monitoring from smartphone scans, treatment-progress tracking, workflow alerts, and patient-practitioner communication
- Audience
- Orthodontists, dental practices, DSOs, aligner programs, and remote-care teams monitoring orthodontic treatment between visits
Medical imaging and radiology
High
FDA De Novo-cleared handheld device that uses AI-enabled elastic scattering spectroscopy to help trained physicians evaluate suspicious skin lesions.
- Use case
- AI-assisted optical spectroscopy for adjunctive skin cancer risk assessment and dermatologist referral decisions
- Audience
- Primary care physicians, dermatology referral networks, health systems, and clinical governance teams evaluating suspicious-lesion assessment workflows
Medical imaging and radiology
High
Class III CE-marked dermatology AI medical device used in UK skin cancer pathways to assess dermoscopic lesion images and support triage.
- Use case
- AI as a medical device for skin lesion assessment, urgent suspected skin cancer triage, and dermatology pathway prioritization
- Audience
- NHS dermatology services, teledermatology pathways, cancer-referral teams, secondary-care providers, and AI governance committees
Medical imaging and radiology
High
Dermoscopy software that supports melanocytic and non-melanocytic lesion assessment with image comparison, AI score, heatmap, and expert second-opinion options.
- Use case
- Dermoscopy image analysis, lesion comparison, AI score, heatmap support, and second-opinion workflow
- Audience
- Dermatology practices, dermoscopy clinics, melanoma surveillance programs, and health systems using FotoFinder imaging workflows
Medical imaging and radiology
Medium to high
AI-powered dermatology imaging platform for skin, hair, and nail image management, analytics, mole matching, visual search, and remote collaboration.
- Use case
- Dermatology image capture, storage, analytics, mole mapping, visual search, evolution tracking, and teledermatology workflow management
- Audience
- Dermatology clinics, teledermatology networks, hospitals, researchers, and skin cancer screening programs
Patient access, triage, and agents
Medium to high
AI-powered skin cancer detection app that provides a risk assessment for uploaded skin spots and is CE-certified under EU MDR Class IIa.
- Use case
- Consumer-facing AI skin spot risk assessment, skin cancer awareness, and guidance on when to seek medical review
- Audience
- Patients, payers, digital front-door teams, population health programs, and dermatology access teams evaluating skin-check navigation
Digital pathology
High
Digital pathology AI applications for cancer pathology, including Paige Prostate.
- Use case
- AI-assisted digital pathology and prostate cancer detection support
- Audience
- Pathology labs and cancer diagnostic teams
Digital pathology
High
AI-enabled digital pathology platform with image management and algorithm access.
- Use case
- Digital pathology image management, AI algorithms, quality control, and lab workflow
- Audience
- Anatomic pathology labs, reference labs, health systems, and biopharma
Digital pathology
High
FDA-cleared digital cytology system combining volumetric imaging, Genius Cervical AI, image management, and cytologist or pathologist review.
- Use case
- Digital cytology imaging, AI-assisted cervical cytology review, image management, and local or remote review-station workflow
- Audience
- Cytology laboratories, pathology groups, women's health screening programs, and health systems running ThinPrep Pap test workflows
Digital pathology
High
Clinical-grade AI pathology platform for cancer diagnostics and pathology workflow support.
- Use case
- AI-powered pathology workflows for cancer detection, grading, biomarker support, and structured reporting
- Audience
- Pathology labs, health systems, diagnostic providers, and biopharma pathology teams
Digital pathology
High
CE-marked and Korea MFDS-approved prostate pathology AI that analyzes digitized H&E slides for cancer detection and Gleason-pattern support under pathologist review.
- Use case
- AI diagnostic-support workflow for prostate H&E whole-slide images, cancer detection, Gleason-pattern localization, quantification, and pathologist review
- Audience
- Anatomic pathology labs, prostate cancer programs, digital pathology teams, and pathology AI governance committees
Digital pathology
High
Concentriq digital pathology platform that supports diagnostic, research, and AI-enabled pathology workflows.
- Use case
- Digital pathology image management, AI application deployment, model development, and lab workflow orchestration
- Audience
- Anatomic pathology labs, academic medical centers, life-sciences teams, and digital pathology operations leaders
Digital pathology
High
AI pathology platform with clinical suites for whole-slide image workflows, quantitative overlays, and pathologist review.
- Use case
- AI-assisted digital pathology suites for cancer diagnostics, quantitative image analysis, and case-level pathology reporting
- Audience
- Pathology labs, diagnostic networks, academic medical centers, and research pathology teams
Digital pathology
High
Digital pathology AI company offering diagnostic suites and biomarker-analysis tools for tissue image workflows.
- Use case
- AI-assisted tissue image analysis for breast biomarkers, PD-L1, HER2, tumor detection, and pathology workflow support
- Audience
- Diagnostic pathology labs, breast pathology teams, pharma pathology groups, and digital pathology networks
Digital pathology
High
Digital pathology AI company whose Atlas H&E-TME product analyzes whole-slide images for tumor microenvironment profiling in research workflows.
- Use case
- Research-use digital pathology foundation-model analysis for H&E tumor microenvironment profiling and quantitative spatial metrics
- Audience
- Biopharma translational research teams, digital pathology researchers, academic groups, and biomarker discovery teams
Digital pathology
High
Digital pathology platform connecting specimen workflow, whole-slide viewing, case management, AI integrations, and specialty diagnostic workflows.
- Use case
- Integrated digital pathology workflow with tissue-handling tools, FDA-cleared viewer, LIS-enabled case management, AI ecosystem access, and molecular test ordering
- Audience
- Urology, dermatology, gastroenterology, pathology, and outpatient diagnostic groups moving to digital pathology workflows
Digital pathology
High
Precision pathology software company offering AI image-analysis workflows, IVDR-certified diagnostic APPs, research tools, and integration paths with pathology platforms.
- Use case
- AI-driven precision pathology image analysis, biomarker scoring, diagnostic decision support APPs, research analysis, and workflow integrations
- Audience
- Diagnostic pathology labs, translational research teams, biopharma pathology groups, and precision-pathology programs
Digital pathology
High
Digital pathology platform centered on CaloPix for whole-slide image management, visualization, analysis, AI apps, telepathology, and lab integration.
- Use case
- CaloPix image management, digital slide viewing, AI app integration, telepathology, archive workflow, and pathology platform modernization
- Audience
- Hospital pathology departments, diagnostic networks, digital pathology programs, and labs seeking image-management and AI-app integration
Digital pathology
High
Enterprise digital pathology software from Roche for pathology case workflow, image management, collaboration, integration, and access to AI-based image analysis algorithms.
- Use case
- Digital pathology case workflow, whole-slide image viewing, multi-slide review, collaboration, LIS/PACS integration, cloud or on-prem deployment, and access to AI-based image analysis algorithms
- Audience
- Hospital pathology departments, health-system labs, pathology networks, and digital pathology teams evaluating enterprise image-management and AI-ready workflows
Digital pathology
High
Enterprise digital pathology image-management system with a cleared clinical viewer and workflow modules for clinical care, consultations, research, education, and AI model access.
- Use case
- Digital pathology image management, FDA-cleared clinical viewing, remote consultations, education, biorepository workflows, and access to third-party AI models
- Audience
- Hospital pathology departments, academic medical centers, reference labs, biorepositories, and digital pathology programs evaluating image-management and AI-ready workflows
Digital pathology
High
Digital pathology biomarker that analyzes colorectal cancer histology slides to support recurrence and survival risk stratification for adjuvant-treatment review.
- Use case
- AI-powered digital biomarker for stage II and stage III colorectal cancer outcome prediction from routine H&E histology slides
- Audience
- Colorectal cancer pathology teams, oncology programs, translational research groups, and digital pathology platform users
Clinical operations and revenue cycle
Medium to high
AI clinical insights platform that surfaces patient history context and documentation before physician review.
- Use case
- Clinical insights from EHR data, pre-visit documentation, and missed-condition surfacing
- Audience
- Hospitals, physicians, quality teams, and revenue integrity teams
Clinical operations and revenue cycle
High
Real-time clinical intelligence platform with an FDA-cleared continuous sepsis flagging device and broader inpatient risk workflow modules.
- Use case
- Real-time EHR-based clinical intelligence, continuous sepsis flagging, patient risk monitoring, care-pathway activation, and performance reporting
- Audience
- Health systems, clinical operations leaders, CMIOs, quality teams, inpatient service lines, and clinical AI governance committees
Clinical operations and revenue cycle
High
FDA-cleared clinical surveillance platform that uses machine-learning models to surface adult ICU deterioration risk and workflow notifications.
- Use case
- AI-driven clinical surveillance and predictive alerts for adult ICU patient deterioration and hemodynamic instability
- Audience
- ICU, tele-ICU, rapid response, clinical operations, virtual nursing, and hospital patient-safety teams
Clinical operations and revenue cycle
High
Clinical AI platform for emergency departments that uses EHR data and clinical NLP to support nurse triage, sepsis-risk recognition, and operational analytics.
- Use case
- Real-time emergency department triage decision support, early sepsis-risk detection, and EHR-derived clinical analytics
- Audience
- Emergency departments, triage nurses, sepsis committees, clinical informatics teams, quality leaders, and hospital patient-safety programs
Clinical operations and revenue cycle
Medium
AI-powered medical coding automation platform for billing workflows.
- Use case
- Autonomous medical coding and coding automation
- Audience
- Revenue cycle teams, coding leaders, billing organizations, and health systems
Clinical operations and revenue cycle
Medium
AI-powered contextual coding automation platform for health-system coding operations.
- Use case
- Contextual coding automation and medical coding performance improvement
- Audience
- Hospitals, health systems, and coding operations teams
Clinical operations and revenue cycle
High
Prior authorization AI from Apixio/Datavant that uses historical administrative and decision data to support automated approvals and reviewer routing.
- Use case
- AI-powered prior authorization decision support and automated routing for payer utilization-management workflows
- Audience
- Health plans, utilization management leaders, prior authorization teams, clinical reviewers, and payer operations teams
Clinical operations and revenue cycle
Medium
Autonomous medical coding engine that translates patient-chart documentation into billing codes with explainable audit trails.
- Use case
- Autonomous medical coding for emergency medicine, radiology, outpatient surgery, outpatient visits, urgent care, and inpatient professional services
- Audience
- Health systems, physician groups, coding operations leaders, HIM teams, and revenue cycle executives
Clinical operations and revenue cycle
Medium
Clinical AI platform for hospital revenue integrity workflows from documentation to reimbursement.
- Use case
- Clinical AI for revenue integrity, prebill diagnosis review, charge validation, denials appeals, and note-level revenue intelligence
- Audience
- Hospitals, health systems, CDI teams, revenue integrity leaders, and denials management teams
Clinical operations and revenue cycle
Medium
AI-powered healthcare revenue cycle platform using agentic, generative, predictive, and automation capabilities across payment workflows.
- Use case
- AI-powered healthcare payment and revenue cycle automation across financial clearance, clinical integrity, claims, denials, and reporting
- Audience
- Healthcare revenue cycle, patient financial care, clinical integrity, claims, denials, and analytics teams
Clinical operations and revenue cycle
Medium
AI-powered patient financial engagement layer for personalized billing journeys, bill clarity, support workflows, and payment outreach.
- Use case
- AI-powered patient financial engagement, billing personalization, bill explanations, agent guidance, and outbound payment support
- Audience
- Health systems, hospitals, patient financial experience teams, revenue cycle leaders, call center teams, and patient billing operations
Clinical operations and revenue cycle
Medium
Clinical data management AI platform for registry abstraction, evidence-linked chart answers, provenance, and human-validated abstraction workflows.
- Use case
- AI-assisted clinical data abstraction, registry-ready answers, FHIR-connected chart review, quality registry workflow, and data provenance support
- Audience
- Health systems, quality leaders, registry abstraction teams, clinical data management teams, research operations, and service-line administrators
Clinical operations and revenue cycle
Medium to high
Healthcare LLM platform for chart review that reasons across longitudinal patient records to support registry automation, quality measurement, and clinical pathway workflows.
- Use case
- AI-powered chart review for clinical registries, custom quality measurement, intelligent clinical pathways, evidence-grounded longitudinal chart questions, and registry abstraction workflows
- Audience
- Health systems, quality leaders, clinical registry teams, clinical data abstraction programs, research operations, and care pathway owners
Clinical operations and revenue cycle
Medium to high
Care Team Copilot and Smart EHR UI that synthesizes patient chart data, supports documentation and pathways, and embeds clinical workflow views in existing EHR environments.
- Use case
- AI-powered Smart EHR UI for chart summarization, clinician questions, documentation drafts, clinical pathways, handoff, alerts, and discharge planning
- Audience
- Hospitals, health systems, inpatient care teams, clinical informatics leaders, and EHR optimization teams
Clinical operations and revenue cycle
Medium
Agentic patient orchestration platform for referral, order, document, payer, and pre-visit workflows.
- Use case
- Agentic patient-flow automation for referrals, orders, document intake, eligibility, prior authorization, triage, and outreach
- Audience
- Specialty practices, referral operations teams, pre-visit staff, revenue cycle leaders, and healthcare operations groups
Clinical operations and revenue cycle
Medium
Generative AI platform for healthcare revenue cycle workflows across coding, CDI, and administrative follow-up.
- Use case
- Generative AI for revenue cycle, coding optimization, CDI, authorization status, and claim status workflows
- Audience
- Health systems, revenue cycle leaders, CDI teams, coding teams, and finance operations
Clinical operations and revenue cycle
Medium to high
Medication-access automation platform for prescription prior authorizations, appeals, benefits, specialty pharmacy, and patient status updates.
- Use case
- Medication prior authorization, appeals, enrollment forms, benefit verification, specialty-pharmacy routing, affordability support, and patient communication
- Audience
- Specialty practices, prescribing teams, biologics coordinators, medication-access teams, and revenue cycle leaders
Clinical operations and revenue cycle
High
Prior authorization AI agents for health plans that extract case details, compare documentation against criteria, and route approvals, denials, or outreach to UM systems.
- Use case
- AI agents for prior authorization intake, clinical abstraction, policy comparison, coverage determination support, outreach routing, and utilization management system integration
- Audience
- Health plans, utilization management teams, clinical reviewers, plan operations, compliance teams, and UM platform owners
Clinical operations and revenue cycle
Medium
Healthcare AI automation platform for operational workflows across access, care delivery, and revenue cycle.
- Use case
- AI-powered healthcare automation for patient access, intake, authorization, scheduling, and administrative workflows
- Audience
- Health systems, ambulatory operations teams, patient access leaders, and revenue cycle teams
Clinical operations and revenue cycle
Medium
Healthcare operations automation platform that combines real-time data, AI, machine learning, behavioral science, EHR integration, and operational assistants.
- Use case
- AI-powered healthcare operations automation, inpatient capacity, surgical growth, perioperative coordination, and operational assistants
- Audience
- Hospitals, health systems, perioperative leaders, inpatient capacity teams, and frontline operations staff
Clinical operations and revenue cycle
Medium to high
Discharge coordination platform that analyzes charts for likely barriers, proposes tasks for staff approval, and uses AI agents for routine outreach.
- Use case
- AI-powered discharge coordination, barrier detection, task orchestration, EMR-integrated transition planning, and Voice AI outreach for routine care-coordination work
- Audience
- Hospitals, discharge planning teams, case managers, social workers, inpatient operations leaders, and clinical staff coordinating transitions of care
Clinical operations and revenue cycle
Medium
Leader operations platform for health systems that uses automation and AI-driven recommendations to help frontline managers prioritize employee and patient-experience actions.
- Use case
- AI-enhanced frontline leader operations, workforce engagement, patient rounding, employee retention workflows, audit tracking, and high-impact action recommendations
- Audience
- Health-system executives, nursing leaders, frontline managers, HR leaders, patient-experience teams, and clinical operations leaders
Clinical operations and revenue cycle
Medium
Healthcare capacity-management suite that uses predictive and prescriptive analytics, AI, and machine learning across OR, infusion, and inpatient-flow workflows.
- Use case
- AI and machine-learning capacity management for operating rooms, infusion centers, inpatient flow, scheduling, and hospital operations
- Audience
- Hospitals, health systems, perioperative leaders, infusion-center teams, inpatient-flow teams, and access or capacity-management executives
Clinical operations and revenue cycle
Medium to high
AI-powered CDI software suite that analyzes clinical documentation to identify gaps, inconsistencies, and revenue or quality opportunities.
- Use case
- AI-powered clinical documentation integrity, mid-revenue-cycle review, condition capture, coding support, and CDI prioritization
- Audience
- Hospitals, health systems, CDI leaders, coding teams, revenue integrity teams, and finance executives
Clinical operations and revenue cycle
Medium to high
Clinical intelligence platform for prior authorization, utilization management, payment integrity, and policy-driven payer-provider workflows.
- Use case
- AI-powered prior authorization, utilization management, payment integrity, clinical policy review, and payer-provider collaboration
- Audience
- Health plans, utilization management teams, at-risk providers, provider networks, and payment integrity teams
Clinical operations and revenue cycle
Medium to high
AI-driven utilization management and payer-provider collaboration platform that turns clinical and financial data into medical-necessity, patient-flow, and reimbursement workflow insights.
- Use case
- AI-powered utilization management, medical-necessity review, concurrent authorization, discharge planning, denial prevention, and payer-provider collaboration
- Audience
- Hospital utilization review teams, case management, revenue cycle leaders, care coordination teams, physician advisors, and health plans
Clinical operations and revenue cycle
Medium to high
Clinician-first AI copilot that reconciles fragmented patient data into evidence-linked insights for value-based care and primary-care workflows.
- Use case
- AI clinician copilot for value-based care, chart review, care gap surfacing, HCC risk adjustment, quality workflows, visit summaries, and documentation support
- Audience
- Primary care groups, ACOs, value-based care organizations, risk adjustment teams, quality leaders, clinicians, and coding operations
Clinical operations and revenue cycle
High
Smart hospital platform that combines ambient sensors, computer vision, voice workflows, EHR connections, and virtual care tooling for inpatient operations.
- Use case
- Smart hospital platform for virtual nursing, remote patient observation, smart patient rooms, computer vision, voice-enabled workflows, and ambient operational monitoring
- Audience
- Hospitals, nursing leaders, virtual care teams, smart-room programs, clinical operations leaders, and health systems evaluating ambient intelligence infrastructure
Clinical operations and revenue cycle
High
Smart care facility platform using ambient sensors, virtual care workflows, predictive monitoring, and command-center tooling for hospital and care-setting operations.
- Use case
- Ambient sensing, virtual nursing, smart patient rooms, protocol monitoring, command-center awareness, and AI-assisted hospital operations
- Audience
- Hospitals, nursing leaders, virtual care teams, clinical operations leaders, smart-room programs, and health systems evaluating ambient monitoring infrastructure
Clinical operations and revenue cycle
High
Virtual care platform combining in-room devices, two-way video, AI-enabled observation applications, analytics, and hospital integrations for virtual nursing and patient safety workflows.
- Use case
- AI-enabled virtual nursing, continuous observation, virtual sitting, patient safety monitoring, episodic virtual care, and hospital room workflow automation
- Audience
- Hospitals, nursing executives, virtual nursing teams, patient-safety leaders, command-center operators, and health systems evaluating AI-enabled inpatient observation
Clinical operations and revenue cycle
High
Connected care platform combining inpatient telehealth applications, smart-room devices, virtual nursing workflows, virtual observation, and optional video, audio, and radar-based AI capabilities.
- Use case
- Virtual nursing, virtual observation, inpatient telehealth, smart-room devices, AI-enhanced patient safety alerts, contactless vitals trending, and connected care operations
- Audience
- Hospitals, nursing leaders, virtual care command centers, inpatient telehealth teams, patient-safety programs, and health systems evaluating AI-ready bedside infrastructure
Clinical operations and revenue cycle
High
Contactless patient monitoring platform for inpatient mental health and ward-safety workflows, including Oxevision Sleep Device FDA clearance.
- Use case
- Contact-free vision-based ward monitoring, spot vital-sign observations, movement alerts, sleep reporting, and patient-safety workflow support
- Audience
- Inpatient behavioral health units, seclusion rooms, ward-safety leaders, nursing teams, and hospitals evaluating contactless patient observation
Clinical operations and revenue cycle
Medium to high
Clinical AI company combining remote patient monitoring, care teams, EHR workflow integration, and AI agents for chronic care programs.
- Use case
- AI-enabled remote chronic care, vitals monitoring, patient risk flagging, care coordination, medication titration support, and post-acute follow-up
- Audience
- Health systems, primary care networks, cardiology groups, chronic-care teams, and value-based care leaders evaluating remote chronic disease management
Clinical operations and revenue cycle
High
Remote monitoring and digital health platform using connected devices, physiologic data, and AI-driven analytics including the FDA-cleared Biovitals Analytics Engine.
- Use case
- AI-enabled physiologic monitoring, personalized vitals baselines, remote data collection, care-at-home workflows, and clinical analytics
- Audience
- Health systems, hospital-at-home programs, life-sciences teams, specialty care programs, and remote monitoring operations evaluating physiologic analytics
Clinical operations and revenue cycle
Medium to high
Best Buy Health remote patient monitoring platform built around Current Health technology, connected devices, centralized patient data, alarms, and EHR integrations.
- Use case
- Remote patient monitoring, care-at-home platform operations, connected devices, patient engagement, telehealth, alarms, and EHR-integrated monitoring workflows
- Audience
- Health systems, home-hospital programs, virtual care teams, pharmaceutical support programs, and chronic-care operations teams
Clinical operations and revenue cycle
Medium to high
Digital and AI health platform for building regulated care and research applications, including RPM, triage, patient-flow, clinical dashboards, analytics, agents, and ML tools.
- Use case
- AI-first health platform, remote patient monitoring, patient-flow apps, triage, clinical dashboards, AI agents, analytics, and regulated digital health application development
- Audience
- Providers, governments, life-sciences teams, digital health builders, clinical trial teams, and care programs building regulated AI and remote monitoring workflows
Clinical operations and revenue cycle
Medium to high
Healthcare-specific NLP and medical language-model platform for extracting, de-identifying, linking, and curating information from clinical and biomedical text.
- Use case
- Clinical NLP, medical language models, de-identification, entity extraction, terminology mapping, document classification, summarization, and data curation from healthcare text
- Audience
- Healthcare data science teams, clinical analytics groups, real-world evidence programs, registry teams, privacy teams, and life-sciences data operations
Patient access, triage, and agents
Medium to high
Healthcare-focused generative AI agent platform with role-specific voice agents, patient access workflows, and inpatient nurse co-pilot positioning.
- Use case
- Generative AI healthcare agents for outreach, access, post-discharge follow-up, remote patient monitoring adherence, inpatient nurse co-pilot, and operational patient conversations
- Audience
- Healthcare organizations, nursing leaders, payers, access centers, and life-sciences teams deploying patient-facing or workforce-support agents
Patient access, triage, and agents
High
Clinical voice AI and patient-management platform using LOLA for outbound or inbound patient conversations, alert routing, and clinician dashboard workflows.
- Use case
- Clinical voice AI conversations, automated patient follow-up, care-plan monitoring, appointment rescheduling, medication inquiry routing, and clinician alert worklists
- Audience
- Health systems, hospitals, payers, public institutions, nursing teams, and virtual-care programs evaluating clinical voice AI for patient follow-up
Patient access, triage, and agents
High
AI symptom analysis and triage platform that can be embedded into healthcare journeys.
- Use case
- Symptom checking, preliminary symptom analysis, patient triage, and navigation APIs
- Audience
- Payers, providers, telehealth teams, and digital-health product teams
Patient access, triage, and agents
High
AI symptom checker and health assistant that asks adaptive questions and returns possible causes or next-step guidance.
- Use case
- AI symptom checking, possible-cause reports, patient education, and care-seeking guidance
- Audience
- Patients, digital front door teams, health systems, employers, and healthcare organizations evaluating symptom-checker or AI health-assistant workflows
Patient access, triage, and agents
Medium
Healthcare AI agent platform for automating routine patient access conversations across phone, SMS, web, and mobile channels.
- Use case
- Healthcare AI agents for call center automation, scheduling, patient support, and conversational intelligence
- Audience
- Health systems, call centers, patient access teams, IT teams, and digital front door leaders
Patient access, triage, and agents
Medium to high
Healthcare AI agent platform for automating patient, provider, and payor communications across access, affordability, and adherence workflows.
- Use case
- AI agents for healthcare calls, benefit verification, prior authorization follow-up, patient onboarding, affordability, adherence, and provider or payor outreach
- Audience
- Health systems, specialty pharmacies, payors, life-sciences patient services teams, access hubs, and care coordination teams
Patient access, triage, and agents
Medium
Patient communication platform with AI agents and orchestration across appointment, intake, billing, forms, and follow-up workflows.
- Use case
- AI-enabled patient communications, messaging orchestration, self-scheduling, intake, billing outreach, forms, and voice or text agents
- Audience
- Health systems, specialty practices, FQHCs, federal agencies, patient access teams, and digital front door leaders
Patient access, triage, and agents
Medium to high
AI-powered care access platform combining conversational AI, clinical logic, triage, routing, and virtual care workflows.
- Use case
- Care access platform for intake, triage, routing, virtual care, scheduling, and conversational AI
- Audience
- Health systems, employers, health plans, virtual care teams, and digital front door operators
Patient access, triage, and agents
Medium to high
Healthcare AI platform for building governed clinical and administrative agents, speech workflows, coding, and documentation support.
- Use case
- Healthcare AI agent framework, speech-to-text, coding support, documentation generation, and workflow-specific clinical agents
- Audience
- Healthcare developers, providers, call centers, care teams, and vendors building governed voice or agent workflows
Patient access, triage, and agents
Medium to high
Healthcare AI-agent platform and documentation API that describes agents for clinical notes, reception, triage, coding, and EHR-connected workflows.
- Use case
- AI healthcare agents for documentation, receptionist workflows, triage roles, coding, EHR integration, and developer-facing clinical-note APIs
- Audience
- Hospitals, practices, developers, and care teams evaluating healthcare AI agents or documentation APIs
Patient access, triage, and agents
Medium to high
Intelligent care enablement platform for automating patient touchpoints and supporting care teams across longitudinal care journeys.
- Use case
- AI-enabled care journeys, two-way texting, symptom management, patient-reported outcomes, check-ins, education, and escalation to care teams
- Audience
- Health systems, care management teams, specialty programs, payors, and patient engagement leaders
Patient access, triage, and agents
High
Clinical AI symptom-assessment and care-navigation platform for digital front door and patient-routing workflows.
- Use case
- AI-powered symptom assessment, care navigation, digital triage, clinical handover, and population insights
- Audience
- Health systems, health plans, digital front door teams, and patient navigation leaders
Patient access, triage, and agents
High
Digital triage and AI medical-assistant platform for patient guidance, care routing, and healthcare-organization workflows.
- Use case
- AI-based symptom assessment, digital triage, care routing, patient assistance, and LLM-enhanced medical-agent workflows
- Audience
- Health insurers, providers, telemedicine teams, public-health organizations, pharma teams, and digital front-door leaders
Patient access, triage, and agents
Medium to high
AI concierge and operational AI layer inside Luma Health's Patient Success Platform for automating patient access and staff-efficiency workflows.
- Use case
- AI-powered patient self-service, appointment changes, refill requests, voice-to-SMS continuity, multilingual access, and operational AI workflows
- Audience
- Health systems, ambulatory groups, patient access leaders, contact centers, and digital front door teams
Patient access, triage, and agents
High
Virtual triage and healthcare navigation platform that combines AI chat or voice workflows with clinical protocols and configurable care routing.
- Use case
- AI chat and voice triage, symptom assessment, care navigation, scheduling handoff, and white-labeled digital front door routing
- Audience
- Health systems, digital front door teams, call centers, virtual care programs, multi-specialty groups, and population health organizations
Patient access, triage, and agents
High
Voice biomarker AI platform that analyzes conversational speech to support screening and monitoring for behavioral, cognitive, and neurological conditions.
- Use case
- AI-supported vocal biomarker screening for mood, cognitive, neurological, and wellness signals from conversational speech
- Audience
- Behavioral health programs, payers, telehealth teams, remote monitoring programs, call centers, and clinicians evaluating voice biomarker screening
Patient access, triage, and agents
High
Voice AI platform that analyzes speech signals to support behavioral-health screening, symptom-severity measurement, and care-management prioritization.
- Use case
- AI-supported depression and anxiety screening or monitoring from patient speech during care-management and telehealth workflows
- Audience
- Behavioral health programs, health plans, case-management teams, telehealth providers, and care managers evaluating voice-based mental health screening
Patient access, triage, and agents
Medium to high
Agentic platform for building, running, and monitoring healthcare AI agents across voice, SMS, chat, web, and Epic-connected workflows.
- Use case
- AI agents for appointment scheduling, patient verification, waitlist management, referral processing, call routing, outbound reminders, and EHR-connected patient workflows
- Audience
- Healthcare organizations, access centers, IT teams, agent builders, and EHR integration teams deploying voice, SMS, chat, or web agents
Patient access, triage, and agents
Medium to high
Healthcare AI voice-agent platform for specialty patient access, inbound and outbound scheduling, routing, intake, and follow-up workflows.
- Use case
- Specialty-trained AI voice agents for patient calls, appointment scheduling, referral conversion, intake, eligibility, waitlists, care-gap outreach, and payment follow-up
- Audience
- Specialty practices, ambulatory groups, patient access leaders, call centers, scheduling teams, and provider operations teams
Patient access, triage, and agents
Medium to high
Integrated primary-care platform for online consultation, care navigation, patient requests, EHR-connected workflows, document automation, and AI-supported reception and scribing.
- Use case
- Online consultation, care navigation, GP triage, appointment workflow, document processing, messaging, analytics, ambient scribing, and AI receptionist support
- Audience
- NHS GP practices, primary care networks, integrated care boards, access teams, document workflow teams, and primary-care clinicians
Patient access, triage, and agents
High
Clinical AI assistant for behavioral-health intake and assessment that gathers patient information and generates clinician-reviewed reports for mental health services.
- Use case
- Conversational mental health intake, assessment support, referral triage, risk-level summarization, and clinician-facing assessment reports
- Audience
- NHS Talking Therapies services, behavioral health providers, health systems, digital front door teams, and mental health access programs
Patient access, triage, and agents
High
Digital mental health platform with an AI conversation space, clinically verified tools, coach or healthcare-professional escalation options, and institution-facing programs.
- Use case
- AI-supported mental health coaching, digital front door workflows, structured assessments, human coach or medical-assistant escalation, and institution-sponsored support programs
- Audience
- Employers, institutions, behavioral health programs, care teams, and digital mental health access leaders
Patient access, triage, and agents
High
Digital mental health company building chat-based AI wellness tools and investigational behavioral-health digital therapeutics with published AI, safety, privacy, and regulatory disclosures.
- Use case
- AI-supported mental health conversation, structured self-guided support, research-grade digital therapeutic development, and partner-sponsored behavioral health access
- Audience
- Health systems, behavioral health partners, payers, researchers, and digital mental health teams evaluating chat-based AI wellness or investigational digital therapeutics
Patient access, triage, and agents
High
Clinical AI primary care platform that supports symptom collection, care guidance, virtual visits, and health-system-connected access models.
- Use case
- Clinical AI intake, symptom checking, virtual primary care access, clinician-facing insights, and 24/7 health-system-connected care navigation
- Audience
- Health systems, virtual primary care programs, digital front door teams, urgent care leaders, and patients using K-affiliated care pathways
Medication safety and dosing
High
Medication safety monitoring platform that uses machine learning and outlier detection to flag patient- and provider-specific medication risks.
- Use case
- AI-powered medication safety monitoring, prescribing anomaly detection, adverse drug event prevention, opioid risk identification, and alert-burden reduction
- Audience
- Health systems, medication safety leaders, EHR partners, pharmacy teams, quality leaders, and digital health platforms
Medication safety and dosing
Medium to high
Clinical-grade AI from DrFirst that uses NLP and machine learning to normalize incomplete or free-text medication data for safer medication management.
- Use case
- Medication history cleanup, sig translation, medication reconciliation support, prescription data codification, and AI-assisted medication management workflows
- Audience
- Hospitals, health systems, pharmacy teams, medication reconciliation programs, EHR leaders, prescribing teams, and medication-management vendors
Medication safety and dosing
High
Bayesian dosing platform for clinical practice that uses patient characteristics, drug concentrations, and validated pharmacokinetic models to support dose optimization.
- Use case
- Bayesian precision dosing, therapeutic drug monitoring, vancomycin AUC workflows, pharmacokinetic modeling, and individualized medication dose optimization
- Audience
- Hospital pharmacists, antimicrobial stewardship teams, therapeutic drug monitoring programs, transplant services, oncology teams, and health-system pharmacy leaders
Medication safety and dosing
High
Precision dosing clinical decision-support platform that adapts dosing recommendations to patient data over time using model-informed methods.
- Use case
- Model-informed precision dosing, Bayesian PK/PD forecasting, therapeutic drug monitoring, EHR-connected dosing decision support, and clinical pharmacology analytics
- Audience
- Hospital pharmacy teams, antimicrobial stewardship programs, transplant programs, pediatric services, life-sciences teams, and clinical pharmacology groups
Medication safety and dosing
Medium to high
Medication intelligence platform that combines AI, clinical expertise, and population data to identify medication-related problems and guide interventions.
- Use case
- AI-powered medication intelligence, comprehensive medication management, risk stratification, prescriber outreach, MTM workflows, adherence support, and high-risk member interventions
- Audience
- Health plans, at-risk provider organizations, PBMs, medication therapy management teams, population health leaders, and pharmacy quality programs
Medication safety and dosing
Medium to high
AI platform built for health-system pharmacy and compliance teams, with Prism Assistant available inside Bluesight ControlCheck for diversion analysis.
- Use case
- Healthcare-specific AI assistant for hospital pharmacy and compliance workflows, including natural-language analysis of controlled-substance and behavioral diversion data
- Audience
- Hospital pharmacy leaders, compliance teams, drug diversion investigators, controlled-substance monitoring teams, and pharmacy operations leaders
Medication safety and dosing
Medium
Medication management platform for care teams that combines patient app engagement, adherence monitoring, medication education, and provider workflows.
- Use case
- Medication adherence monitoring, patient-specific medication reports, conversational patient-reported data capture, medication education, and EHR-connected care-team follow-up
- Audience
- Care teams, health systems, health plans, remote therapeutic monitoring programs, adherence teams, and medication management programs
Medication safety and dosing
High
Cloud-based diabetes decision-support platform that uses patient glucose and insulin data to generate clinician-reviewed insulin treatment recommendations.
- Use case
- FDA-cleared diabetes clinical decision support for insulin treatment recommendations, glucose-device data review, remote diabetes management, and care-plan standardization
- Audience
- Endocrinology clinics, diabetes centers, primary care groups, remote patient monitoring teams, and health systems managing insulin-treated diabetes
Medication safety and dosing
Medium to high
Clinical decision support software from GenXys that uses pharmacogenomic and medication data to support personalized medication decisions in clinical workflows.
- Use case
- Precision prescribing clinical decision support using pharmacogenomic data, medication interactions, condition context, side-effect sorting, and patient-specific treatment options
- Audience
- Prescribers, pharmacists, precision medicine programs, pharmacogenomics teams, EHR leaders, and pharmacy management system teams
Medication safety and dosing
Medium
Patient medication instruction solution from First Databank that uses AI-supported language processing to simplify and personalize medication instructions.
- Use case
- AI-assisted patient medication instructions, simplified sig translation, multilingual labeling, bedside medication education, discharge education, and adherence support
- Audience
- Hospitals, ambulatory clinics, pharmacies, nurses, discharge teams, patient education leaders, and health-literacy programs
Medication safety and dosing
Medium to high
AI-native adherence and patient engagement platform that uses smartphone workflows, computer vision, and analytics to support medication-taking verification and trial monitoring.
- Use case
- AI-powered medication adherence verification, patient engagement, digital biomarker capture, and remote trial monitoring through smartphone workflows
- Audience
- Clinical trial sponsors, CROs, life sciences teams, population health programs, providers, and adherence-monitoring teams
Medication safety and dosing
Medium
Patient engagement platform that combines behavioral science, predictive AI, and configurable treatment journeys to support medication adherence and persistence.
- Use case
- Predictive medication adherence support, personalized treatment journeys, smart reminders, patient education, engagement analytics, and omnichannel intervention orchestration
- Audience
- Pharma patient-support teams, specialty medication programs, provider adherence teams, population health leaders, and digital patient engagement groups
Medication safety and dosing
Medium to high
Synapse Medicine AI solution for pharmacovigilance that helps code adverse event reports with MedDRA terms and prioritize cases by severity.
- Use case
- AI-assisted pharmacovigilance case management, adverse drug event coding, MedDRA classification, severity prioritization, and prescribing safety support
- Audience
- Pharmacovigilance teams, medication safety leaders, public health agencies, pharma safety teams, software vendors, and prescribing workflow integrators
Medication safety and dosing
Medium to high
AI-powered pharmacovigilance signal detection product from RxLogix for identifying, validating, and managing drug safety signals across data sources.
- Use case
- AI-powered pharmacovigilance signal detection, literature mining, safety database monitoring, workflow automation, audit trails, and regulatory-aligned risk management
- Audience
- Pharma safety teams, pharmacovigilance operations, signal detection groups, regulatory affairs, safety physicians, and life sciences quality teams
Medication safety and dosing
Medium to high
Life sciences safety platform that embeds LifeSphere NavaX AI and automation across pharmacovigilance case and safety workflows.
- Use case
- AI-forward pharmacovigilance platform for safety case intake, case processing, signal analytics, regulatory workflows, translation, and LifeSphere NavaX automation
- Audience
- Pharmacovigilance operations, safety case processing teams, regulatory affairs, CROs, pharma safety leaders, and life-sciences IT governance teams
Medication safety and dosing
Medium to high
Next-generation Oracle pharmacovigilance platform for end-to-end adverse event case processing that uses AI and machine learning to improve efficiency and compliance.
- Use case
- AI- and machine-learning-supported pharmacovigilance platform for adverse-event case processing from intake through regulatory reporting
- Audience
- Pharmaceutical companies, CROs, partner organizations, pharmacovigilance operations, safety case processors, and regulatory reporting teams
Medication safety and dosing
Medium to high
AI-driven pharmacovigilance intake product for detecting and extracting drug safety events from multiple unstructured channels.
- Use case
- GenAI-powered pharmacovigilance event detection and extraction from emails, audio, documents, chats, and other safety intake sources
- Audience
- Pharmacovigilance operations, case intake teams, safety service organizations, pharma safety leaders, and life-sciences compliance teams
Medication safety and dosing
Medium to high
Veeva pharmacovigilance suite with adverse-event case management and Veeva AI for Safety capabilities inside the Vault Safety ecosystem.
- Use case
- Cloud pharmacovigilance system for adverse-event management, safety case processing, signal workflow, safety content, and Veeva AI for Safety capabilities
- Audience
- Sponsors, CROs, pharmacovigilance teams, safety operations, regulatory reporting groups, and life-sciences quality leaders
Precision medicine and data
High
FDA De Novo-authorized AI/ML software that assigns adult emergency department or hospital patients to sepsis risk categories within a clinician-reviewed workflow.
- Use case
- FDA-authorized AI diagnostic and predictive sepsis risk assessment using EHR, vital-sign, demographic, laboratory, and biomarker inputs
- Audience
- Emergency departments, inpatient teams, sepsis committees, clinical informatics, quality leaders, and acute-care precision medicine programs
Precision medicine and data
High
Cardiovascular AI platform using standard 12-lead ECGs to surface signals such as low ejection fraction, pulmonary hypertension, and cardiac amyloidosis for clinician follow-up.
- Use case
- FDA-cleared ECG-AI algorithms for identifying cardiovascular risk signals from standard 12-lead ECG workflows
- Audience
- Cardiology, primary care, emergency medicine, health-system innovation, ECG management, and clinical informatics teams
Precision medicine and data
High
FDA-cleared cardiovascular detection platform that pairs Eko digital stethoscopes with AI-supported ECG and heart-sound analysis for supervised point-of-care screening.
- Use case
- FDA-cleared AI analysis of ECG and heart sounds from compatible Eko digital stethoscopes to flag atrial fibrillation, structural murmurs, low ejection fraction signals, and normal sinus rhythm for clinician review
- Audience
- Primary care, cardiology, health-system screening programs, outpatient clinics, and enterprise teams evaluating digital stethoscope AI
Precision medicine and data
High
Portable AI-powered 12-lead ECG system that uses a reduced leadset and KAI 12L algorithms to support clinician-reviewed cardiac determinations.
- Use case
- FDA-cleared AI-powered handheld 12-lead resting ECG system for clinician-reviewed cardiac determinations using a simplified leadset
- Audience
- Cardiology, primary care, urgent care, emergency medicine, mobile diagnostics, and health-system teams evaluating portable ECG workflows
Precision medicine and data
High
Cloud-based Philips Cardiologs platform that uses deep-learning ECG analysis to support qualified clinicians reviewing Holter and ambulatory ECG recordings.
- Use case
- AI-assisted Holter and ambulatory ECG analysis for arrhythmia assessment, rhythm review, clinician annotation, report generation, and ECG workflow scaling
- Audience
- Cardiology practices, electrophysiology teams, ambulatory ECG monitoring services, health systems, and ECG workflow administrators
Precision medicine and data
High
AI-enabled precision medicine platform spanning molecular testing, multimodal data, clinical assistants, care pathways, imaging insights, and trial matching.
- Use case
- AI-enabled precision medicine, multimodal data, diagnostics, and clinical trial support
- Audience
- Oncology, cardiology, radiology, life-sciences, and precision-medicine teams
Precision medicine and data
High
Tempus generative AI assistant for querying clinical, molecular, imaging, EHR, and research data inside precision-medicine workflows.
- Use case
- Generative AI assistant for patient insight lookup, biomarker and report context, EHR workflow assistance, clinical trial search, documentation support, and multimodal research queries
- Audience
- Oncology clinicians, care teams, researchers, and health systems using Tempus Hub, EHR integrations, or Tempus data products
Precision medicine and data
High
AI-driven precision medicine platform for analyzing complex genomic, radiomic, and multimodal healthcare data.
- Use case
- AI-powered genomic, radiomic, and multimodal data analysis through the SOPHiA DDM platform
- Audience
- Molecular diagnostic labs, oncology programs, genomic medicine teams, radiomics teams, and precision-medicine researchers
Precision medicine and data
High
Guardant Health AI and machine-learning portfolio for precision oncology data and multimodal real-world evidence workflows.
- Use case
- AI-enabled precision oncology data exploration, cohort analysis, molecular pattern discovery, and real-world evidence workflows
- Audience
- Precision oncology, biopharma, research, real-world evidence, and clinical-genomic data teams
Precision medicine and data
High
Multimodal AI prostate cancer test that analyzes digital pathology and clinical data to support risk stratification and treatment-personalization decisions.
- Use case
- AI-enabled digital pathology and clinical-data test for prostate cancer prognosis, therapy-benefit prediction, and treatment-intensity personalization
- Audience
- Urologists, radiation oncologists, pathologists, precision-oncology teams, tumor boards, and health systems evaluating prostate cancer risk stratification
Precision medicine and data
High
AI-based prostate cancer mapping software that combines MRI, biopsy, pathology, PSA, and deep learning to generate patient-specific cancer estimation maps.
- Use case
- FDA-cleared AI decision-support software for prostate cancer mapping, lesion documentation, biopsy planning, and prostate treatment planning workflows
- Audience
- Urologists, prostate cancer programs, focal therapy teams, radiation oncologists, interventional radiologists, and clinical AI governance teams
Precision medicine and data
High
Clinical-trial AI company using disease-specific machine learning models to generate participant-level digital twins for trial analysis.
- Use case
- AI-generated digital twins for clinical trial design, control-outcome forecasting, synthetic control comparisons, and statistical power planning
- Audience
- Biopharma sponsors, CROs, clinical development leaders, biostatistics teams, and researchers designing clinical trials
Precision medicine and data
High
Biology-focused AI agent platform for drug discovery and development workflows using multimodal patient data and specialized biomedical AI skills.
- Use case
- Agentic AI for biomedical research, multimodal patient data analysis, target prioritization, biomarker validation, and drug-development decisions
- Audience
- Biopharma R&D teams, translational medicine groups, computational biology teams, and precision-oncology researchers
Precision medicine and data
High
Precision medicine company applying molecular science and AI to oncology testing, data, and treatment-insight workflows.
- Use case
- AI-enabled molecular profiling, precision oncology insights, and tumor board reporting
- Audience
- Oncology practices, cancer centers, molecular tumor boards, life-sciences teams, and precision-oncology programs
Precision medicine and data
High
Oncology-specific clinical decision support that surfaces evidence-based regimens, biomarkers, clinical trials, and site preferences at the point of care.
- Use case
- EHR-integrated oncology clinical decision support, treatment pathways, biomarkers, trials, and prior authorization support
- Audience
- Oncology practices, cancer centers, value-based care teams, and clinical pathway leaders
Precision medicine and data
High
Health data and analytics platform using AI to clean, query, analyze, and generate evidence from large linked real-world healthcare datasets.
- Use case
- AI-supported real-world data analytics, cohort building, regulatory-grade evidence generation, and natural-language research assistance
- Audience
- Life-sciences, public-health, healthcare, academic, real-world evidence, and clinical research teams
Precision medicine and data
High
Clinical-trial acceleration platform that applies AI to structured and unstructured clinical data for cohort discovery and patient matching.
- Use case
- AI-supported cohort discovery, clinical trial matching, protocol feasibility, patient identification, and real-world data extraction
- Audience
- Clinical research operations, trial recruitment teams, academic medical centers, sponsors, CROs, and real-world data teams
Precision medicine and data
High
Clinical AI platform that reads medical records to support trial screening, registry abstraction, and real-world evidence workflows.
- Use case
- AI-assisted chart review, clinical trial screening, protocol matching, registry abstraction, and real-world data extraction from medical records
- Audience
- Clinical research teams, health systems, sponsors, CROs, registry programs, and real-world evidence groups
Precision medicine and data
High
Real-world data and analytics platform that supports clinical trial design, feasibility, site identification, recruitment planning, and evidence generation.
- Use case
- Real-world data network, AI-supported cohort discovery, protocol feasibility, site identification, and clinical trial recruitment planning
- Audience
- Clinical research leaders, sponsors, CROs, health systems, real-world evidence teams, and trial feasibility groups
Precision medicine and data
High
Clinical trial AI and analytics suite from Medidata that supports study design, feasibility, enrollment risk, data quality, operational monitoring, and integrated evidence workflows.
- Use case
- AI-supported clinical trial planning, protocol optimization, trial risk monitoring, data quality workflows, synthetic control arms, and integrated evidence
- Audience
- Life sciences sponsors, CROs, clinical operations teams, data management teams, biostatistics teams, and regulatory research groups
Precision medicine and data
High
Oncology real-world data and AI platform company with products for evidence generation, clinical trials, commercial strategy, and CancerLinQ care insights.
- Use case
- Oncology-focused real-world data, generative and predictive AI, trial feasibility, trial screening, commercial insights, and care-quality analytics
- Audience
- Life sciences, oncology research, clinical operations, real-world evidence, and cancer-care quality teams
Precision medicine and data
High
Modular real-world evidence platform for turning real-world data into transparent, reproducible, decision-grade evidence.
- Use case
- Real-world evidence generation, data preparation, cohort definition, causal analytics, regulatory-grade study workflows, and AI-assisted variable or subgroup work
- Audience
- Life sciences evidence teams, HEOR, safety, epidemiology, payers, regulators, and real-world data researchers
Precision medicine and data
High
Multimodal real-world evidence platform that applies human and AI intelligence to longitudinal EHR and other clinical data.
- Use case
- AI-assisted multimodal real-world data exploration, cohort analysis, clinical research insights, drug development support, and predictive model development
- Audience
- Clinical researchers, drug developers, diagnostics teams, data science groups, and real-world evidence teams
Precision medicine and data
High
AI-enabled in vitro diagnostic test that combines biomarkers and clinical variables to stratify kidney disease progression risk.
- Use case
- FDA-authorized AI-enabled prognostic blood test for assessing risk of progressive kidney function decline in diabetic kidney disease
- Audience
- Nephrology, primary care, endocrinology, population health, laboratory, and value-based care teams managing adults with type 2 diabetes and chronic kidney disease
Medical imaging and radiology
High
Digital wound care platform that uses calibrated wound images, AI-supported analysis, workflow software, and analytics to standardize wound assessment and documentation.
- Use case
- AI-supported wound imaging, measurement, documentation, analytics, reimbursement documentation, and care-team coordination
- Audience
- Wound care programs, skilled nursing facilities, home health teams, hospitals, and enterprise clinical operations leaders
Medical imaging and radiology
High
Mobile wound imaging platform from Net Health that uses machine learning and computer vision for wound segmentation, measurement, classification, and wound-care analytics.
- Use case
- AI-powered mobile wound imaging, segmentation, measurement, tissue classification, analytics, and EHR-integrated wound documentation
- Audience
- Hospitals, wound care departments, post-acute organizations, skilled nursing facilities, and home health programs
Medical imaging and radiology
High
AI-powered wound management platform that supports 3D wound imaging, measurement, tissue analysis, documentation, and wound-care analytics.
- Use case
- 3D wound imaging, measurement, tissue analysis, documentation, telehealth workflow, and wound healing analytics
- Audience
- Wound clinics, home health teams, skilled nursing facilities, clinical research groups, and telewound programs
Medical imaging and radiology
High
FDA-registered digital wound management service that uses smartphone scans and calibration stickers for wound imaging, measurement, tissue documentation, and monitoring.
- Use case
- Smartphone-based wound scanning, 3D wound imaging, automatic measurement, tissue distribution, documentation, and remote review
- Audience
- Home health providers, community nursing teams, post-acute care organizations, payers, and wound care programs
Medical imaging and radiology
High
FDA-cleared point-of-care fluorescence wound imaging device platform that helps clinicians visualize bacterial fluorescence and measure wounds.
- Use case
- Point-of-care fluorescence wound imaging, elevated bacterial-load detection support, wound measurement, and longitudinal wound monitoring
- Audience
- Wound care centers, outpatient clinics, podiatry, home health programs, and clinicians managing chronic or complex wounds
Medical imaging and radiology
High
AI-enabled multispectral imaging system for burn wound assessment that received FDA De Novo classification for the DeepView AI System in May 2026.
- Use case
- AI-enabled multispectral wound imaging for burn wound healing assessment and treatment-planning support
- Audience
- Burn centers, trauma centers, emergency departments, wound care researchers, and medical device governance teams
AI governance and monitoring
Medium to high
AI governance platform positioned for healthcare, payer, pharmaceutical, and biotech teams that need visibility, lifecycle controls, and risk-based compliance across AI initiatives.
- Use case
- AI governance, model inventory, lifecycle automation, policy controls, validation evidence, and risk-based compliance for healthcare and life-sciences AI portfolios
- Audience
- Healthcare providers, payers, pharmaceutical companies, biotech firms, AI governance leaders, model risk teams, and compliance teams
AI governance and monitoring
Medium to high
Responsible AI governance platform for inventorying AI systems, mapping controls to regulations and frameworks, and producing audit-ready governance evidence.
- Use case
- AI system registry, vendor registry, policy mapping, risk controls, evidence generation, and regulation-aligned governance workflows
- Audience
- Enterprise AI governance, responsible AI, security, risk, compliance, data science, and platform teams overseeing healthcare or regulated AI systems
AI governance and monitoring
Medium to high
Healthcare-specific de-identification module from Mendel that uses neuro-symbolic AI to redact PHI from clinical documents while preserving useful medical context.
- Use case
- AI-assisted de-identification of clinical documents, PHI redaction, medical-record preprocessing, and privacy-preserving data preparation for research or analytics
- Audience
- Healthcare data teams, clinical research organizations, life-sciences analytics groups, health-system privacy teams, and real-world evidence programs
AI governance and monitoring
Medium to high
AI observability and security platform with healthcare-focused materials for monitoring agents, ML models, LLM workflows, guardrails, and auditable operational records.
- Use case
- AI observability, agent monitoring, drift detection, guardrails, explainability, PHI-leak detection, and auditable records for production AI systems
- Audience
- Healthcare AI platform teams, data science teams, risk teams, security teams, payer operations, and teams deploying LLM applications or agents
AI governance and monitoring
Medium to high
Observability and evaluation platform for LLM applications, agents, and machine-learning models that can help teams monitor quality, traces, drift, regressions, and production behavior.
- Use case
- LLM observability, evaluations, tracing, model monitoring, drift detection, prompt-level analysis, and production issue investigation
- Audience
- Machine learning, LLM platform, data science, clinical analytics, and MLOps teams monitoring healthcare AI applications
AI governance and monitoring
Medium to high
AI governance platform focused on lifecycle governance, compliance, validation, monitoring, transparency, and audit reporting for regulated AI systems.
- Use case
- AI governance strategy, compliance management, model performance monitoring, validation protocols, transparency, and audit reporting
- Audience
- Risk, compliance, model governance, insurance, payer, audit, and responsible AI teams managing regulated AI portfolios
AI governance and monitoring
Medium to high
EU-native AI governance platform that helps teams inventory AI systems, map risks and controls, reuse governance evidence, and keep compliance workflows current as systems change.
- Use case
- AI system inventory, risk classification, policy templates, governance data reuse, EU AI Act support, and cross-functional compliance workflows
- Audience
- European healthcare, government, enterprise, risk, compliance, product, and AI governance teams preparing for EU AI Act-era oversight
AI governance and monitoring
Medium to high
Healthcare-oriented AI governance and compliance platform for mapping controls, collecting evidence, training teams, and monitoring deployed AI agents or models.
- Use case
- Healthcare AI compliance management, policy management, workforce training, control evidence collection, and AI agent monitoring
- Audience
- Healthcare compliance, risk, clinical operations, responsible AI, and audit teams standing up healthcare AI governance programs
AI governance and monitoring
Medium to high
Healthcare AI governance and risk-monitoring platform for policy controls, AI assessments, bias or validity checks, report cards, compliance support, and production monitoring.
- Use case
- Healthcare AI governance, risk monitoring, fairness and validity assessment, AI report cards, compliance programs, and production risk mitigation
- Audience
- Healthcare AI governance, clinical validation, compliance, product, risk, legal, and executive teams moving AI systems from pilots into monitored production
AI governance and monitoring
Medium to high
AI governance platform with healthcare-specific fields for inventorying systems, running risk reviews, tracking controls, logging incidents, and generating governance reports.
- Use case
- AI system inventory, structured risk reviews, governance controls, incident logging, disclosure generation, board reporting, and audit-ready evidence packs
- Audience
- Healthcare compliance, legal, risk, executive, board, operations, and AI governance teams documenting clinical or operational AI oversight
AI governance and monitoring
Medium to high
Healthcare risk-intelligence platform that adds AI governance workflows for identifying AI exposure, assessing vendors and internal AI uses, and operationalizing governance across risk, security, privacy, and clinical functions.
- Use case
- Healthcare AI governance, vendor AI exposure management, enterprise risk workflows, risk intelligence, benchmarking, assessment automation, and AI governance evidence collection
- Audience
- Healthcare CIOs, CISOs, GRC teams, vendor-risk leaders, compliance, privacy, clinical governance, and enterprise AI oversight committees
AI governance and monitoring
Medium to high
Governed agentic AI operating system for healthcare and other regulated environments, with centralized policy enforcement, audit trails, data-sovereignty controls, agent workflows, and SDK support.
- Use case
- Governed healthcare AI agent runtime, policy enforcement, audit trails, agent-library deployment, custom agent development, third-party agent governance, and workflow automation oversight
- Audience
- Health-system AI, IT, clinical operations, compliance, security, informatics, and engineering teams building or buying governed healthcare AI agents
AI governance and monitoring
Medium to high
Healthcare-focused AI governance and enforcement platform positioned around PHI redaction, BAA-native routing, policy controls, registry coverage, and signed audit evidence.
- Use case
- Healthcare AI governance control plane for inline PHI redaction, BAA-aware model routing, policy enforcement, AI registry evidence, FDA SaMD lifecycle artifacts, and cryptographic audit trails
- Audience
- Providers, payers, healthcare SaaS teams, CISOs, AI platform leaders, compliance teams, and governance committees routing PHI through generative AI systems
AI governance and monitoring
Medium to high
Healthcare-specific AI governance platform positioned for tracking, monitoring, and governing clinical AI tools across a health system.
- Use case
- Clinical AI registry, quality monitoring, safety-event capture, compliance reporting, EHR integration, and health-system governance workflow
- Audience
- Health-system AI governance, quality, safety, compliance, informatics, and clinical operations leaders tracking AI tools in use
AI governance and monitoring
Medium to high
Smart AI Governance Engine built by Avanade for healthcare AI inventory, risk monitoring, and vendor collaboration.
- Use case
- Healthcare AI inventory registration, risk monitoring, vendor collaboration, traceability, and policy-aligned governance workflow
- Audience
- Healthcare AI governance committees, informatics leaders, compliance teams, vendor-management teams, and responsible AI program owners
AI governance and monitoring
Medium to high
Health-system AI monitoring layer for seeing which AI tools are running, whether performance or adoption has drifted, and how utilization connects to governance decisions.
- Use case
- Health-system AI visibility, performance monitoring, drift detection, adoption tracking, utilization review, cost alignment, and governance documentation
- Audience
- Health-system clinical, digital, IT, compliance, risk, finance, and governance leaders monitoring AI already deployed across workflows
AI governance and monitoring
Medium to high
Healthcare-specific AI governance and observability platform for operationalizing AI policies, monitoring clinical AI, and modeling operational utility across health-system workflows.
- Use case
- Healthcare AI governance management, service-line controls, AI monitoring, operational utility modeling, regulatory alignment, and multimodal AI oversight
- Audience
- Health-system AI governance, radiology, informatics, compliance, quality, operational, and administrative leaders managing clinical AI lifecycle risk
AI governance and monitoring
Medium to high
Healthcare AI governance platform family for monitoring predictive-model performance, explaining model behavior, assessing bias and drift, and discovering AI assets across a health-system environment.
- Use case
- Explainable AI governance, predictive-model transparency, performance monitoring, bias analysis, drift monitoring, AI discovery, and Zero Trust-oriented AI inventory
- Audience
- Health-system AI governance, analytics, informatics, compliance, model-risk, security, and clinical leadership teams managing predictive models or shadow AI
Surgery and procedural intelligence
High
Surgical intelligence platform for connecting OR data, video, devices, workflow analytics, and quality-improvement programs.
- Use case
- Vendor-neutral surgical intelligence, OR data platform, surgical workflow analytics, quality improvement, and perioperative performance monitoring
- Audience
- Hospitals, surgical service lines, perioperative leaders, quality teams, medtech partners, and health-system AI governance committees
Surgery and procedural intelligence
High
Surgical intelligence platform that analyzes minimally invasive procedure video and turns intraoperative events into structured intelligence.
- Use case
- Surgical video capture, AI analysis, procedure mapping, operative-report support, quality review, training, and OR intelligence
- Audience
- Surgical departments, minimally invasive surgery programs, quality leaders, coding teams, academic surgery programs, and perioperative analytics teams
Surgery and procedural intelligence
High
Operating-room intelligence platform that connects people, data, devices, and workflows for surgical collaboration, throughput, and analytics.
- Use case
- Connected operating-room platform, remote collaboration, surgical video library, workflow orchestration, and AI-powered surgical intelligence
- Audience
- Hospitals, OR leaders, surgical educators, medtech teams, service-line leaders, and digital-surgery governance teams
Surgery and procedural intelligence
High
Medtronic surgical video ecosystem for capturing procedure video, organizing case review, and using AI-enabled analytics for surgical learning and performance review.
- Use case
- AI-enabled surgical video management, postoperative review, performance assessment, education, and procedural insight workflows
- Audience
- Surgeons, OR educators, hospital surgical programs, medtech teams, and quality-improvement leaders using laparoscopic or robotic video
Surgery and procedural intelligence
High
Collaborative robotic surgery platform with intelligent scope-control and intraoperative data capabilities for minimally invasive procedures.
- Use case
- Collaborative robotic assistance, laparoscope control, intraoperative data capture, and procedure-level insights for minimally invasive surgery
- Audience
- Minimally invasive surgery teams, ambulatory surgery centers, hospital OR leaders, surgeons, and robotics governance committees
Surgery and procedural intelligence
High
Intraoperative surgical-intelligence and visualization technology positioned to provide real-time visual insights during surgery.
- Use case
- Intraoperative surgical visualization, perfusion-related visual insight, AI-enabled case support, and augmented-reality surgical intelligence
- Audience
- Surgeons, minimally invasive surgery programs, biomedical engineering teams, surgical quality leaders, and device-governance committees
Surgery and procedural intelligence
High
Ambient AI platform for operating rooms that uses computer vision, predictive models, and EHR data to track case events, forecast delays, and improve perioperative throughput.
- Use case
- Ambient operating-room intelligence, real-time OR monitoring, automated case-event documentation, delay prediction, capacity optimization, and perioperative analytics
- Audience
- Perioperative leaders, OR nurses, schedulers, surgeons, hospital operations teams, and health-system AI governance committees
Surgery and procedural intelligence
High
AI-driven operating-room black-box platform that captures multimodal OR data and turns de-identified surgical activity into safety, quality, efficiency, and training insights.
- Use case
- AI-driven multimodal OR data capture, de-identified procedure review, safety analytics, quality improvement, team training, and operating-room performance insights
- Audience
- Surgical quality leaders, perioperative safety teams, hospital executives, risk teams, educators, and health-system AI governance committees
Surgery and procedural intelligence
High
Cloud-based AI and data-fusion platform for endovascular surgery that supports planning, real-time image guidance, collaboration, and post-operative assessment.
- Use case
- AI-enhanced endovascular procedure planning, 3D surgical maps, intraoperative image guidance, automatic registration, volume assessment, and post-operative analysis
- Audience
- Vascular surgeons, endovascular teams, hybrid-OR leaders, interventional imaging teams, biomedical engineering, and device-governance committees
Surgery and procedural intelligence
High
FDA-cleared and internationally authorized augmented-intelligence platform that adds machine-vision and digital tools to the Senhance robotic surgery workflow.
- Use case
- Augmented-intelligence support for robotic surgery, machine-vision camera control, digital tools, visual guidance, and procedure-data insights with the Senhance Surgical System
- Audience
- Robotic surgery programs, minimally invasive surgeons, OR leaders, biomedical engineering teams, and medical-device governance committees
Surgery and procedural intelligence
High
FDA-cleared spine-surgery navigation platform that combines multimodal sensors, AI, and live 3D guidance to support instrument placement and procedural intelligence.
- Use case
- AI-powered spine-surgery navigation, real-time 3D surgical guidance, light-field computer vision, intraoperative measurement, and structured surgical data capture
- Audience
- Spine surgery programs, orthopedic and neurosurgical teams, OR leaders, biomedical engineering, and medical-device governance committees
Surgery and procedural intelligence
High
FDA-cleared spine surgery navigation system using 3D optical technology, AI, and preoperative CT registration to support pedicle-screw placement.
- Use case
- AI-driven 3D optical spine navigation, preoperative CT-based planning, intraoperative registration, instrument tracking, and radiation-free pedicle-screw guidance workflow
- Audience
- Spine surgeons, orthopedic and neurosurgical teams, ambulatory surgery centers, hospital OR leaders, biomedical engineering, and surgical navigation governance committees
Surgery and procedural intelligence
High
AI-powered ZEISS application for organizing cataract surgery videos and surfacing performance insights from segmented surgical cases.
- Use case
- AI-assisted cataract surgical video library, phase segmentation, case review, benchmarking, teaching, and performance-improvement workflow
- Audience
- Cataract surgeons, ophthalmology surgical programs, surgical educators, and clinics using ZEISS cataract workflow systems
Surgery and procedural intelligence
High
Surgical video analytics platform for turning recorded procedures into structured review, phase segmentation, and performance-improvement metrics.
- Use case
- Post-procedure surgical video library, AI PII detection, phase segmentation, longitudinal analytics, benchmarking, case review, and training workflow
- Audience
- Surgeons, surgical educators, residency programs, quality-improvement teams, and hospitals reviewing laparoscopic, robotic, or endoscopic video
Surgery and procedural intelligence
High
Stryker perioperative platform that integrates SurgiCount+ sponge management with Triton's AI-enabled blood-loss assessment workflow.
- Use case
- AI-assisted surgical blood-loss estimation, sponge counting, retained-sponge prevention workflow, EMR-connected charting, and perioperative hemorrhage response support
- Audience
- Operating-room leaders, obstetric hemorrhage teams, perioperative nurses, anesthesia teams, patient-safety leaders, and surgical technology governance committees
Medical imaging and radiology
High
AI auto-contouring software for radiation therapy workflows that generates guideline-oriented structures for clinician review before treatment planning.
- Use case
- Deep-learning auto-contouring, organ-at-risk segmentation, treatment-planning structure generation, DICOM workflow integration, and radiation oncology planning acceleration
- Audience
- Radiation oncology departments, dosimetry teams, medical physicists, treatment-planning leaders, and oncology AI governance committees
Medical imaging and radiology
High
MIM auto-contouring software that uses machine learning to generate anatomical contours for trained clinical users to review and edit.
- Use case
- AI auto-segmentation for radiation oncology contours, CT and MR structure generation, molecular radiotherapy contour support, and MIM workflow automation
- Audience
- Radiation oncologists, dosimetrists, medical physicists, molecular radiotherapy teams, imaging software administrators, and cancer-center governance teams
Medical imaging and radiology
High
AI-based autocontouring workflow from Siemens Healthineers that generates organ-at-risk contours as part of the CT simulation process.
- Use case
- CT-simulator-integrated AI autocontouring, organ-at-risk structure generation, optimized reconstruction, and radiation therapy simulation workflow support
- Audience
- Radiation oncology departments, CT simulation teams, medical physicists, dosimetrists, and Siemens Healthineers radiotherapy customers
Medical imaging and radiology
High
Radiotherapy auto-contouring software that generates CT and MR segmentation templates for trained clinicians to review, edit, and approve.
- Use case
- AI-powered auto-contouring, guideline-based organ-at-risk and lymph-node segmentation, CT and MR contour templates, and treatment-planning workflow acceleration
- Audience
- Radiation oncology departments, dosimetrists, medical physicists, treatment-planning teams, and oncology AI governance committees
Medical imaging and radiology
High
AI contouring module in TheraPanacea's ART-Plan environment for rapid organ-at-risk and lymph-node delineation before clinical review.
- Use case
- AI-enhanced contouring for organs-at-risk, lymph nodes, treatment-planning segmentation, batch contouring, and radiotherapy preparation workflows
- Audience
- Radiation oncologists, dosimetrists, medical physicists, cancer-center AI committees, and radiotherapy operations leaders
Medical imaging and radiology
High
Deep-learning autocontouring software from Mirada Medical for radiotherapy treatment-planning workflows and clinician-reviewed organ-at-risk contours.
- Use case
- Deep-learning contouring for organs-at-risk, zero-click autocontouring workflows, CT treatment-planning structures, and radiotherapy contour quality support
- Audience
- Radiation oncology departments, NHS or health-system AI adoption teams, dosimetrists, medical physicists, and treatment-planning leaders
Medical imaging and radiology
High
RaySearch RayStation module that uses deep-learning segmentation models to generate radiation therapy contours inside the treatment-planning environment.
- Use case
- Deep-learning organ segmentation inside RayStation, radiation therapy contour generation, automated planning support, and treatment-planning workflow consistency
- Audience
- Radiation oncology departments, dosimetrists, medical physicists, treatment-planning administrators, and cancer-center AI governance committees
Medical imaging and radiology
High
GE HealthCare X-ray AI suite that runs around image acquisition to flag suspected pneumothorax cases, support image-quality checks, and measure ET tube position for clinician review.
- Use case
- On-device chest X-ray AI for pneumothorax notification, worklist prioritization, image-quality checks, and endotracheal tube position measurement
- Audience
- Radiology departments, emergency departments, mobile X-ray teams, ICU teams, and imaging AI governance committees
Clinical operations and revenue cycle
Medium to high
Wearable monitoring platform using a chest patch and cloud dashboard for cuffless blood-pressure monitoring and other clinician-reviewed physiologic signals.
- Use case
- Cuffless ambulatory blood pressure monitoring, wearable vital-sign collection, remote physiologic monitoring, early-warning review, hypertension assessment, and clinician-reviewed patient reports
- Audience
- Cardiology practices, hypertension clinics, remote patient monitoring programs, hospital-at-home teams, long-term care programs, and virtual care operations leaders
Clinical operations and revenue cycle
Medium to high
Physician-led healthcare AI platform that summarizes charts, drafts inpatient documentation, supports handoffs, and embeds AI-assisted workflow tools into hospital EHR workflows.
- Use case
- EHR-integrated inpatient AI for clinical summaries, progress-note drafting, handoffs, discharge planning, utilization-management review, and clinician-reviewed workflow automation
- Audience
- Hospital medicine groups, inpatient care teams, case management, utilization management, clinical documentation leaders, health-system innovation teams, and EHR governance committees
Digital pathology
High
AI-powered breast cancer prognostic test that combines histology-derived features with clinical factors to help stratify recurrence risk for clinician review.
- Use case
- AI-enabled digital pathology prognostic testing for early-stage invasive breast cancer recurrence risk using H&E whole-slide images and clinical factors
- Audience
- Breast pathology teams, breast oncology programs, tumor boards, molecular diagnostics teams, and digital pathology governance committees
Digital pathology
High
Digital pathology AI suite from Lunit for precision-oncology research, biomarker discovery, IHC analysis, and selected pathologist-assistive workflows.
- Use case
- AI-powered digital pathology analysis for tumor microenvironment profiling, IHC quantification, PD-L1 scoring support, genotype prediction research, and biomarker development workflows
- Audience
- Pathology labs, biopharma translational teams, companion-diagnostic groups, oncology research teams, and digital pathology governance committees
Clinical operations and revenue cycle
Medium to high
EHR-integrated remote patient monitoring platform from Validic that normalizes patient-generated health data and adds AI summaries to help clinicians review trends.
- Use case
- EHR-integrated remote patient monitoring, patient-generated health data normalization, connected-device logistics, clinical dashboards, alerts, and generative AI summaries for clinician review
- Audience
- Health systems, value-based care organizations, remote patient monitoring programs, chronic-care teams, and digital health teams building connected-device workflows
16 products
Clinical evidence and questions
Medium to high risk
20 products
Clinical documentation and scribes
Lower to medium risk
69 products
Medical imaging and radiology
High risk
17 products
Digital pathology
High risk
15 products
Surgery and procedural intelligence
High risk
40 products
Clinical operations and revenue cycle
Medium risk
25 products
Patient access, triage, and agents
Medium to high risk
18 products
Medication safety and dosing
Medium to high risk
24 products
Precision medicine and data
High risk
18 products
AI governance and monitoring
Medium to high risk