Medical imaging and radiology
Ferrum Health
Clinical AI governance and deployment platform for health systems adopting multiple imaging or clinical AI models.
Last updated: June 14, 2026
Back to directoryViz.ai medical AI product profile
AI-powered care coordination platform with imaging-driven alerts across therapeutic areas.
Medical imaging and radiology
Best fit
Teams that need rapid disease detection alerts and coordinated response pathways.
- Primary use case
- AI-powered care coordination around suspected disease detection and specialist activation
- Audience
- Hospitals, stroke teams, cardiology, vascular, and life-sciences teams
- Risk level
- High
- Pricing signal
- Enterprise pricing; request current terms.
- Official sources
- 6 official sources
Compare within workflow: Medical imaging and radiology · comparison shortlist · source index
Regulatory snapshot
| Status | FDA-cleared disease-specific modules exist, including the original ContaCT de novo and later Viz LVO 510(k) clearances; each purchased module still needs indication-level verification. |
|---|---|
| Review route | De novo DEN170073 for ContaCT and 510(k) K223042 for Viz LVO, among other module-specific clearances. |
| Intended use | Radiological computer-assisted triage and notification software for suspected large-vessel occlusion workflows; other Viz.ai modules have separate intended uses. |
| Verification note | Confirm the exact Viz module, algorithm version, imaging modality, disease pathway, notification users, routing rules, mobile workflow, geography, and current FDA database record. |
| Source | www.accessdata.fda.gov / cdrh_docs / reviews |
Regulatory, privacy, evidence, and workflow lens
Product-specific review. These product-specific signals summarize what the cited sources imply before treating Viz.ai as safe for a local clinical, operational, or research workflow.
| Regulatory / FDA | Do not treat a platform-level FDA-cleared-algorithm count as clearance for every pathway; verify the specific disease module, indication, and geography. |
|---|---|
| Privacy | Check imaging, mobile, messaging, and EHR data flows, including notification content, user access, trust-center controls, retention, and business-associate terms. |
| Evidence | Review pathway-specific evidence for time-to-notification, treatment activation, false alerts, missed cases, and outcome measures in comparable hospitals. |
| Workflow | Use when the care pathway has named responders, escalation windows, and specialist confirmation rather than as standalone diagnostic interpretation. |
Where Viz.ai fits
Viz.ai states its platform is driven by more than 50 FDA-cleared algorithms and supports imaging-driven care coordination; its trust center frames security and privacy diligence for clinical-data deployments.
Not for: Standalone diagnosis without specialist confirmation and workflow governance.
What to verify before using Viz.ai
- Which algorithms are FDA-cleared for your use case.
- Alert routing and escalation workflow.
- Integration with imaging, mobile, and clinical communication systems.
- Outcome evidence for your disease pathway.
Source links
Use these links to confirm current claims, terms, regulatory status, pricing, and deployment requirements.
- www.viz.ai
- www.accessdata.fda.gov / cdrh_docs / reviews
- www.accessdata.fda.gov / cdrh_docs / pdf22
- www.viz.ai / privacy-policy
- www.viz.ai / trust-center
- www.viz.ai / news / viz-ai-announces-successful-completion-of-soc-2-type-ii-hipaa-audits-for-viz-ai-one-platform
Related medical AI products
Medical imaging and radiology
Blackford Platform
Enterprise medical imaging AI platform for evaluating, deploying, routing, and monitoring multiple radiology AI applications.
Medical imaging and radiology
CARPL.ai
FDA-cleared enterprise imaging AI platform and marketplace for accessing, validating, deploying, viewing, and monitoring radiology AI applications.
Medical imaging and radiology
deepcOS
Radiology AI operating system and marketplace platform for deploying, routing, evaluating, and monitoring multiple imaging AI applications.