Viz.ai is a care coordination platform that uses AI to automatically detect critical conditions from CT scans -- large vessel occlusion stroke, pulmonary embolism, aortic dissection, and others -- and immediately notifies the appropriate specialist with the relevant imaging attached. The system coordinates the care team notification automatically, compressing the time from imaging to specialist review. Emergency departments, stroke programs, and cardiovascular programs at hospitals use Viz.ai to improve response times for time-critical conditions. In stroke, where treatment efficacy decreases rapidly with time, reducing the time from imaging to specialist consultation can significantly improve patient outcomes. Viz.ai handles the detection, notification, and care coordination steps that traditionally required manual processes. Viz.ai's FDA-cleared modules for stroke, pulmonary embolism, and cardiac conditions address conditions where minutes matter for outcomes. The care coordination focus -- not just detecting abnormalities but actually routing care -- is what distinguishes it from tools that only assist radiologists. By connecting the detection AI directly to the clinical response workflow, it creates an end-to-end system.

What the community says

Viz.ai is highly regarded in stroke and emergency medicine communities for demonstrable impact on treatment times and outcomes. Hospital systems with deployed Viz.ai cite significant reductions in door-to-treatment times for stroke. FDA clearance and outcome data are consistently cited as adoption drivers. Based on community discussions from stroke neurology publications and clinical conferences.