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.

Key Features

✓FDA-cleared large vessel occlusion (stroke) detection

✓Pulmonary embolism detection from CT

✓Aortic aneurysm and dissection detection

✓Real-time specialist mobile alerting

✓Integrated care coordination messaging

✓PACS integration for imaging workflow

✓Analytics dashboard for clinical outcomes

✓Expanding algorithm library across conditions

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?

👤Stroke centers and Level 1 trauma hospitals

👤Radiology departments with high CT scan volumes

👤Health systems seeking to improve time-sensitive care outcomes

👤Hospital CMOs improving quality and patient outcome metrics

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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