Pathology AI Tools: Clinical Workflow Checklist

Evaluate pathology AI tools for slide workflow fit, regulatory scope, image quality, lab validation, privacy, and pathologist oversight.

Relevant product screenshot for Pathology AI Tools: Clinical Workflow Checklist: Paige
Representative source image: official Paige product page.
Quick answer: Pathology AI tools can support slide review, triage, quantification, quality control, biomarker workflows, and research, but they should not be treated as autonomous diagnosis. Teams should verify regulatory scope, scanner and stain compatibility, local validation, pathologist review, LIS integration, privacy, and post-launch monitoring.

Who this guide is for

Pathology groups, health systems, digital pathology teams, oncology programs, laboratory directors, and AI governance committees.

What makes this workflow different

Pathology AI depends on scanner, stain, tissue, LIS, and pathologist-review workflows, so validation has to happen inside the lab's actual diagnostic process.

What to verify before using it

Risk level and safe use

Medical riskHigh
Best first stepWrite the workflow in one sentence, decide who reviews the AI output, and test with a small controlled pilot before expanding.
Recommended postureUse AI as supervised workflow support. Verify sources, privacy, human review, and regulatory fit before relying on outputs.

Source-backed products for this workflow

These profiles are not rankings. They are starting points for checking vendor claims, privacy terms, FDA or regulatory posture, evidence, and workflow fit.

Digital pathology

Paige

Paige describes AI applications for cancer pathology and a prostate suite for detection and diagnosis support.

Best for
Pathology teams evaluating AI support for prostate biopsy review and digital pathology workflows.
First check
FDA authorization and exact intended use for the selected product.
Sources
2 official sources
Digital pathology

PathAI

PathAI says AISight powers digital pathology workflows and AI applications; AISight Dx materials describe FDA-cleared primary-diagnosis image management with specified scanner support, while other AI algorithms and research workflows require separate intended-use review.

Best for
Labs that need an image management system with AI application access and pathology workflow support.
First check
Which AISight version and algorithms are diagnostic versus research use only.
Sources
4 official sources
Digital pathology

Roche navify Digital Pathology

Roche describes navify Digital Pathology as enterprise pathology software for case workflow, multi-slide viewing, annotation, collaboration, cloud or on-prem deployment, scanner interoperability, PACS and navify Pathology Lab Hub integration, and access to AI-based image analysis algorithms through Roche Open Environment. Roche labeling materials describe Roche Digital Pathology Dx as an aid for qualified pathologists reviewing FFPE whole-slide images and state limits for other applications, while FDA records list Roche Digital Pathology Dx 510(k) clearances K232879 and K242783.

Best for
Labs standardizing Roche-compatible digital pathology workflows that need scanner interoperability, LIS/PACS integration, cloud or on-prem options, and governed access to image-analysis algorithms.
First check
Which deployment is in scope: cloud navify Digital Pathology, on-prem software, Roche Digital Pathology Dx, scanners, navify Pathology Lab Hub, analytics, or algorithm access.
Sources
6 official sources
Digital pathology

Ibex Medical Analytics

Ibex describes an AI-powered pathology platform for automated insights across cancer workflows, structured reporting partnerships, regulatory distinctions by solution and region, a U.S. 510(k)-cleared Galen Second Read prostate workflow, and published privacy and compliance materials.

Best for
Labs evaluating AI-assisted cancer pathology workflows across breast, prostate, gastric, or biomarker use cases.
First check
Which Ibex module, tissue type, and workflow is being evaluated.
Sources
6 official sources

Official source trail for this workflow

Open these vendor, documentation, privacy, or regulatory sources before relying on product claims, especially for FDA status, PHI handling, deployment model, and intended use.

Compare digital pathology products · Open the category shortlist · Review source policy

Related medical AI guides