Viz.ai

Viz.ai

Paid

AI-powered care coordination platform with 50+ FDA-cleared algorithms for disease detection across neurology, cardiology, vascular, and radiology.

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What is Viz.ai?

Viz.ai is the leading AI care coordination platform trusted by over 1,700 hospitals worldwide, featuring more than 50 FDA-cleared AI algorithms that analyze medical imaging data including CT scans, EKGs, and echocardiograms to auto-detect suspected diseases in seconds. Its enterprise platform, Viz.ai One, connects imaging AI with real-time clinician notification and care team coordination to accelerate time-to-treatment across therapeutic areas including stroke, pulmonary embolism, aortic disease, cardiac amyloidosis, hypertrophic cardiomyopathy, and oncology. When Viz detects a suspected finding, it instantly alerts the relevant specialist on their mobile device with the imaging context, enabling faster intervention decisions without waiting for a radiologist read. Clinically validated studies have shown 34% reduction in door-to-puncture time for stroke patients, 99% of eligible aortic aneurysm patients scheduled for follow-up, and 31% faster PE notification.

Key Features

50+ FDA-Cleared AI AlgorithmsReal-Time Disease DetectionInstant Mobile Clinician AlertsCT Scan AnalysisEKG AnalysisEchocardiogram AnalysisLarge Vessel Occlusion (LVO) DetectionPulmonary Embolism DetectionAortic Disease MonitoringCardiac Amyloidosis ScreeningHypertrophic Cardiomyopathy DetectionHemorrhage DetectionCT Perfusion AnalysisMulti-Site Care NetworkLife Sciences Patient MatchingViz Academy Training Portal24/7 On-Call Clinical Specialists

Integrations

Other
EpicOracle HealthMicrosoft Cloud for HealthcarePACS Systems

How to Use Viz.ai

1Integrate Viz.ai with your hospital's PACS and imaging infrastructure
2Configure alert routing for relevant specialties and care team contacts
3Viz AI automatically analyzes incoming imaging studies in real time
4Suspected disease findings trigger instant mobile alerts to the appropriate specialist
5Clinician reviews the imaging on their phone and coordinates care team response within the app

✅ Best For

  • Hospital systems and health networks handling high volumes of emergency and time-sensitive imaging cases including stroke centers, interventional cardiology programs, and vascular surgery departments. Radiology departments and care coordination teams looking to reduce time-to-diagnosis and ensure no critical finding goes unnoticed across a multi-site network.

❌ Not For

  • Outpatient clinics and small practices that do not perform or interpret medical imaging. Organizations looking for ambient documentation or clinical note generation rather than imaging AI and care alerting.

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Pricing

EnterpriseCustom
  • ✓Per-algorithm licensing
  • ✓care coordination platform
  • ✓24/7 support
Life SciencesCustom
  • ✓Patient identification and trial matching modules

Prompts to Try

Alert the neurology team when LVO is detected in incoming CT scans

Notify cardiology immediately when an EKG suggests hypertrophic cardiomyopathy

Flag all incoming chest CTs with suspected pulmonary embolism for urgent review

Use Cases

A stroke neurologist at a regional hospital receives a Viz LVO alert on his phone at 2 AM with the CT image and immediately activates the cath lab, reducing door-to-puncture time by over 30 minutes compared to the previous workflow.
The radiology chair at a multi-hospital system uses Viz to automatically route suspected PE findings to the pulmonary embolism response team, ensuring critical cases are never buried in a worklist.
A hypertrophic cardiomyopathy program coordinator uses Viz HCM to identify undiagnosed patients from routine EKGs across 12 affiliated clinics, tripling the number of new HCM diagnoses per quarter.
A pharma company partners with Viz Life Sciences to identify and pre-screen eligible patients for a cardiac amyloidosis trial in real time from imaging data, accelerating enrollment by 40%.
A trauma center integrates Viz Trauma Suite to automatically alert the trauma surgery team when hemorrhage is detected on incoming CT scans, reducing time from imaging to OR decision.

Frequently Asked Questions