Viz.ai
AI clinical communication and workflow platform for hospitals, accelerating diagnosis and treatment for time-sensitive conditions.
What is Viz.ai?
AI That Saves Lives Through Faster Diagnosis
Viz.ai is a clinical AI platform designed to accelerate the diagnosis and treatment of time-critical medical conditions. Operating in the seconds and minutes that matter most in emergency medicine, Viz.ai analyzes medical imaging in real time and immediately alerts the appropriate specialists when critical findings are detected โ dramatically reducing the time from imaging to treatment intervention.
Clinical AI Across Specialties
Originally focused on stroke detection, Viz.ai has expanded across multiple clinical areas including aortic disease, pulmonary embolism, cardiac conditions, and trauma. In each area, the AI analyzes CT and other imaging modalities to detect abnormalities, then uses its care coordination platform to immediately connect the imaging findings with the specialist team who needs to act on them.
- Real-time CT analysis for stroke, PE, aortic, and cardiac conditions
- Automated specialist alerting through a mobile care coordination app
- AI-powered imaging triage to prioritize the most urgent cases
- Workflow analytics for hospital administration
- Integration with major PACS and EHR systems
Measurable Clinical Impact
Viz.ai's clinical studies have demonstrated significant reductions in time-to-treatment for stroke patients, which directly translates to better patient outcomes โ fewer disabilities and lives saved. The platform is used in hundreds of hospitals across the US and internationally, processing millions of medical imaging studies annually.
Key Features
Analyzes CT scans in real time to detect critical findings within seconds of acquisition.
Immediately notifies the right specialist on mobile with AI findings and imaging.
Connects imaging, ED, and specialist teams in a unified communication platform.
Tracks time-to-treatment metrics and workflow performance for hospital quality teams.
Integrates seamlessly with existing hospital imaging and medical record systems.
Who Uses Viz.ai?
Reduce time to thrombectomy by alerting stroke teams the moment a large vessel occlusion is detected.
Rapidly identify aortic dissections and pulmonary embolisms for emergency intervention.
Automatically prioritize the most urgent imaging studies for radiologist review.
Hospital administrators use workflow data to improve door-to-treatment time metrics.
Pros & Cons
โ Pros
- Clinically validated with published studies demonstrating improved patient outcomes
- Covers a broad and growing range of time-critical clinical conditions
- Care coordination platform connects the entire treatment team, not just imaging
- Used in hundreds of hospitals with proven real-world implementation
- Reduces treatment delays that directly impact patient survival and disability
โ Cons
- Enterprise hospital-focused product with complex procurement and implementation
- Requires integration with existing PACS and EHR systems which varies in complexity
- AI performance can vary depending on imaging quality and patient population
Viz.ai Pricing
Hospital Enterprise
- All clinical modules
- PACS/EHR integration
- Care coordination app
- Clinical support
Viz.ai earns a 4.4/5 rating from our editorial team. While it requires a paid subscription, the professional-grade capabilities deliver strong ROI for serious users. Standout strengths include clinically validated with published studies demonstrating improved patient outcomes and covers a broad and growing range of time-critical clinical conditions.
Get Started with Viz.ai โ