Viz.ai
FDA-cleared AI for stroke and critical care detection from imaging
Visit Viz.ai
www.viz.aiAbout Viz.ai
Viz.ai is an AI-powered clinical communication and care coordination platform for time-sensitive medical conditions. Its FDA-cleared algorithms analyze medical imaging (CT scans, MRI) to detect strokes, pulmonary embolisms, and aortic aneurysms — then instantly alerts the appropriate specialist on their mobile device, reducing time-to-treatment.
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Key Features
Viz.ai Pros & Cons
✅ Pros
- +FDA-cleared — highest regulatory bar in medical AI
- +Proven to reduce stroke treatment time by 52 minutes on average
- +Improved patient outcomes in multiple peer-reviewed studies
- +Specialist mobile alerts prevent missed critical findings
- +Expanding to 30+ clinical conditions beyond stroke
⚠️ Cons
- −Requires hospital-level implementation and IT integration
- −High institutional cost — not accessible for small clinics
- −Algorithm performance varies across imaging equipment brands
- −Still requires radiologist and specialist review for final diagnosis
Who Is Viz.ai Best For?
Viz.ai Use Cases
💡Stroke Code Activation
A patient arrives at a community hospital ED with stroke symptoms. The CT scan is uploaded to PACS and Viz.ai's algorithm detects a large vessel occlusion in 90 seconds — alerting the interventional neurologist's phone with the imaging before the radiologist has finished dictating. Treatment begins 52 minutes earlier than the hospital's pre-AI baseline, saving brain tissue and improving neurological outcomes.
💡PE Detection After Hours
At 2am, a patient's CT pulmonary angiogram shows a massive pulmonary embolism. Viz.ai alerts the on-call pulmonologist immediately with the imaging, rather than waiting for radiologist dictation at the end of a batch read at 6am. The patient receives systemic thrombolysis within 30 minutes of imaging, preventing hemodynamic collapse.
💡Health System Quality Improvement
A 15-hospital health system deploys Viz.ai across all facilities to standardize stroke care. The system tracks door-to-CT time, CT-to-alert time, and door-to-puncture time in real time. Within 6 months, average door-to-puncture time decreases 35%, hospital performance improves in stroke quality rankings, and the system qualifies for value-based care bonuses.
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