Stroke and radiology AI · Review

Viz.ai Review 2026

Hospital imaging AI that flags suspected stroke, pulmonary embolism and other urgent findings and alerts the right specialists in real time.

By · Updated 4.3 Very Good
Price
Enterprise contracts only
Who buys it
Hospitals and health systems
Regulatory status
50+ FDA-cleared algorithms (vendor figure)
Deployment
Connected to PACS and the EHR

Direct answer

Viz.ai is an AI care coordination platform for hospitals that detects time-sensitive findings such as stroke, pulmonary embolism and aortic dissection on imaging and routes them to the right specialist, using 50+ FDA-cleared algorithms in nearly 2,000 hospitals. It is enterprise-only and needs hospital IT integration.

Clinical AI Report · October 7, 2026

Key takeaways

  • Viz.ai is a hospital care coordination platform that analyzes CT scans, EKGs and echocardiograms as they are acquired and alerts care teams to time-sensitive findings.
  • Viz.ai is sold on enterprise terms to hospitals and health systems, not individual physicians, and deploys as infrastructure connected to PACS and the EHR, which requires hospital IT work.
  • Viz.ai has 50+ FDA-cleared algorithms covering stroke (large vessel occlusion), pulmonary embolism, aortic dissection, intracranial hemorrhage and cervical spine fractures, and says it was in nearly 2,000 hospitals at the end of 2025.
  • Viz.ai is imaging triage, not general decision support: it covers only conditions with imaging-based detection algorithms and offers no drug dosing, literature search or differential diagnosis.
In this review
  1. At a glance
  2. Who it’s for
  3. What it is
  4. FDA status
  5. Pricing
  6. Stroke care
  7. Integration
  8. Strengths and limitations
  9. Alternatives compared
  10. Rating
  11. How this review was researched
  12. FAQ
  13. Sources
  14. Other specialty reviews

Viz.ai at a glance

Made by
Viz.ai, San Francisco, California. Founded in 2016.
Price
Enterprise pricing for hospitals and health systems. Individual physicians cannot buy it directly. Viz.ai
What it does
Analyzes CT scans, EKGs and echocardiograms as they are acquired, flags time-sensitive findings and alerts care teams on mobile devices.
Conditions covered
Stroke from large vessel occlusion, pulmonary embolism, aortic dissection, intracranial hemorrhage and cervical spine fractures, among others.
Regulatory status
50+ FDA-cleared algorithms, according to Viz.ai. Viz.ai
Hospitals
Nearly 2,000 hospitals at the end of 2025, according to Viz.ai. Viz.ai, 2025
Integration
Hospital infrastructure connected to PACS and the EHR; deployment needs hospital IT work.
Departments
Typically deployed across radiology, neurology, cardiology and emergency departments.
Not included
Drug dosing, literature search and differential diagnosis.
Company
Viz.ai said its healthcare business reached profitability in 2025. Viz.ai, 2025

Who Viz.ai is for

A good fit for

  • Hospitals speeding up stroke, pulmonary embolism and aortic dissection pathways
  • Stroke programs that need several specialists alerted at the same time
  • Health systems with IT capacity to connect imaging AI to PACS and the EHR

Look elsewhere if

  • You are an individual physician; Viz.ai is sold only to hospitals and health systems
  • You need drug dosing, literature search or a differential diagnosis generator
  • Your priority condition has no imaging-based detection algorithm

What is Viz.ai?

Viz.ai is an AI care coordination platform for hospitals. It runs in the background of imaging workflows, analyzes CT scans, EKGs and echocardiograms as they are acquired, and alerts care teams when it detects time-sensitive findings such as stroke from large vessel occlusion, pulmonary embolism or aortic dissection, routing each case to the right specialist within seconds.

Viz.ai is imaging triage, not a general clinical reference. It covers only conditions that have an imaging-based detection algorithm and does not answer clinical questions. The company was founded in 2016, is based in San Francisco and says the platform processes millions of scans a year.

Is Viz.ai FDA cleared?

Viz.ai says it has 50+ FDA-cleared algorithms that analyze medical imaging data, including CT scans, EKGs and echocardiograms. That count is a vendor figure. Because it counts individual algorithms, ask which cleared algorithms cover the specific findings your hospital plans to use, such as stroke or pulmonary embolism, before signing a contract.

How much does Viz.ai cost?

Viz.ai has enterprise pricing for hospitals and health systems, and individual physicians cannot buy it directly. It is hospital infrastructure rather than a per-clinician app: it is typically deployed across radiology, neurology, cardiology and emergency departments, and connecting it to PACS and the EHR needs hospital IT work, which belongs in the budget alongside the contract.

How does Viz.ai help with stroke care?

Viz.ai’s strongest use is the stroke pathway. It flags suspected large vessel occlusion on CT and alerts the stroke team at the same time on their phones, which can shorten handoff delays. Peer-reviewed studies have reported shorter door-to-treatment times for thrombectomy in stroke workflows that use Viz.ai.

Stroke care runs on strict clocks: thrombolysis within 4.5 hours of symptom onset for eligible patients and thrombectomy up to 24 hours in selected patients. Viz.ai applies the same detection and alerting to pulmonary embolism and aortic dissection.

Does Viz.ai integrate with PACS and the EHR?

Viz.ai integrates with PACS and the EHR at the hospital infrastructure level. It is not a standalone app, so deployment requires hospital IT work. Once connected, it analyzes images as they are acquired, triages the workflow automatically and sends real-time mobile notifications to the relevant specialists instead of waiting for a manual handoff.

Strengths and limitations

Strengths

  • 50+ FDA-cleared algorithms spanning stroke, PE, aortic dissection, and more
  • Deployed in nearly 2,000 hospitals with proven clinical adoption
  • Real-time automated triage reduces time-to-treatment for critical findings
  • Deep PACS and EHR integration (hospital infrastructure-level deployment)
  • Peer-reviewed evidence supporting reduced door-to-treatment times
  • Simultaneous multi-specialist mobile notification system
  • Achieved profitability in healthcare business (2025)

Limitations

  • Enterprise-only pricing — not accessible to individual physicians
  • Imaging triage tool, not a general clinical reference or decision support platform
  • Requires hospital IT integration (not a standalone app)
  • Limited to conditions with imaging-based detection algorithms
  • No drug dosing, literature search, or differential diagnosis capabilities

How Viz.ai compares

Viz.ai triages imaging; the general clinical tools below answer questions at the point of care, such as stroke treatment windows or drug choices, and do a different job.

Viz.ai compared with common alternatives
Viz.aiPrice: Enterprise, for hospitals and health systemsWho can use it: Hospital deployment connected to PACS and the EHRHow it differs: 50+ FDA-cleared imaging algorithms (vendor figure) with real-time care team alerts
Vera HealthPrice: Free for licensed clinicians and traineesWho can use it: Outside the US except sanctioned countries (vendor)How it differs: Cited answers, differential support, drug checks and 900+ calculators (vendor figure)
UpToDatePrice: $579 a year for one US clinician (October 2026)Who can use it: Paid subscription; plans vary by countryHow it differs: 12,000+ expert-written topics with GRADE-graded recommendations
OpenEvidencePrice: Free, ad-supportedWho can use it: Verified clinicians; not in the EU, EEA or UKHow it differs: Cited answers to clinical questions from licensed journals

How Clinical AI Report rates Viz.ai

85/100

4.3 · Very Good

Specialty review (radiology); not part of the overall clinical rankings

Viz.ai earns an Very Good rating in radiology for its 50+ FDA-cleared algorithms and near-universal adoption across US stroke centers. Its real-time imaging triage and care coordination platform is designed for time-critical diagnoses where minutes matter.

  • Clinical accuracy · 25%91
  • Evidence and citations · 20%78
  • Product design · 15%88
  • EHR integration · 15%92
  • Workflow and speed · 15%94
  • Value and pricing · 10%60

How this review was researched

Sources
3 sources, listed below, including Viz.ai’s 2025 year-end announcement, its website and FDA information on AI-enabled medical devices.
Evidence labels
Vendor claims are labelled as vendor figures. Independent studies and preprints are named, with their limits.
What was not tested
Clinical AI Report did not run its own accuracy test or measure time savings. The score is an editorial judgment against a published rubric, not a clinical benchmark.
Independence
Rankings are editorial opinions, not sponsored placements.

Read the scoring methodology, or send a correction.

Viz.ai FAQ

Is Viz.ai only for stroke?

No. Besides stroke from large vessel occlusion, Viz.ai’s algorithms cover pulmonary embolism, aortic dissection, intracranial hemorrhage and cervical spine fractures, and it analyzes EKGs and echocardiograms as well as CT scans. It covers only conditions that have an imaging-based detection algorithm.

Does Viz.ai offer drug dosing or differential diagnosis?

No. Viz.ai is imaging triage, not general clinical decision support. It offers no drug dosing, literature search or differential diagnosis, so clinicians still need a clinical reference such as Vera Health or UpToDate for questions at the point of care.

How many hospitals use Viz.ai?

Viz.ai said it was deployed in nearly 2,000 hospitals at the end of 2025, when it also reported reaching profitability in its healthcare business. Both are company figures from its 2025 year-end announcement rather than independent counts.

Sources (3)
  1. Viz.ai Closes 2025 with Record Scale and Patient Impact · Viz.ai Press Release, 2025
  2. FDA AI/ML-Based Software as a Medical Device (SaMD) Action Summary · U.S. Food and Drug Administration
  3. Viz.ai website · Viz.ai