🔍 What is Viz.ai?

Viz.ai is an AI-powered stroke detection and care coordination platform that revolutionizes how hospitals respond to time-sensitive neurological emergencies. Developed by Viz.ai Inc., the platform uses deep learning algorithms to analyze CT scans of the brain in real-time, automatically detecting signs of large vessel occlusion (LVO) strokes and alerting specialists within minutes of the scan being performed. With FDA clearance for multiple indications, Viz.ai has become the leading AI platform for stroke care coordination in hospitals across the United States and Europe.

The platform's core technology is its ability to analyze non-contrast CT scans, CT angiography, and CT perfusion studies to identify stroke-related abnormalities. When a potential stroke is detected, Viz.ai immediately notifies the entire care team - including neurologists, neurointerventionalists, and radiologists - through a mobile app, providing them with the relevant images and clinical context. This parallel notification system dramatically reduces the time between scan acquisition and treatment decision, which is critical in stroke care where every minute of delay can result in significant brain tissue loss.

Beyond initial detection, Viz.ai continues to provide value throughout the patient care journey. The platform tracks key metrics from door-to-treatment time, monitors treatment outcomes, and provides analytics for quality improvement. Viz.ai has expanded beyond stroke to include other time-sensitive conditions including pulmonary embolism, aortic disease, and coronary artery disease. The platform's ability to coordinate care across departments and institutions makes it an essential tool for health systems seeking to optimize emergency response and improve patient outcomes.

✨ Key Features

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AI Stroke Detection Real-time analysis of CT scans using deep learning to automatically detect large vessel occlusion and other stroke findings.

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Automated Care Team Alerts Instant mobile notifications to the entire care team with relevant images and clinical context for rapid response.

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Multi-Modality Imaging Analysis Supports non-contrast CT, CT angiography, and CT perfusion analysis for comprehensive stroke assessment.

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Outcome Tracking & Analytics Dashboard tracking key metrics including door-to-treatment time, treatment success rates, and quality improvement data.

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Expanded Emergency Indications FDA-cleared for additional time-sensitive conditions including pulmonary embolism, aortic disease, and intracranial hemorrhage.

💰 Pricing

Enterprise Hospital License

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Full platform deployment across hospital system including all AI detection modules, care coordination, analytics, and integration with existing PACS and EMR systems.

Modular Deployment

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Select specific AI detection modules for individual departments or indications with phased rollout and lower initial investment.

📊 Pros and Cons

Pros

Dramatically reduces stroke response times through parallel notification of entire care team
Multiple FDA clearances for various time-sensitive emergency conditions
Proven clinical impact with published studies showing significant reduction in door-to-treatment times

Cons

Enterprise pricing model limits accessibility to smaller hospitals and clinics
Requires integration with existing hospital imaging and IT infrastructure

🎯 Best For

Acute stroke response: hospitals use Viz.ai to reduce door-to-needle and door-to-puncture times for stroke patients Multi-site health systems: enterprise deployment enables standardized stroke care coordination across multiple hospital locations Quality improvement: stroke centers use analytics to track performance metrics and continuously improve emergency response protocols

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