Discover what Viz.ai is and how it uses AI to detect disease and coordinate care across radiology, neurology, and cardiology.

Viz.ai is an AI-powered care coordination platform focused on disease detection and workflow optimization. It integrates with existing hospital systems and clinical routines, delivering real-time notifications, alerts, and recommendations that help healthcare teams collaborate and make decisions faster. Beyond disease detection, the platform handles tasks such as scheduling appointments, organizing patient records, and generating reports, improving efficiency across radiology, neurology, and cardiology.
Viz.ai was founded in 2016 by Dr. Chris Mansi, a neurosurgeon, and Dr. David Golan, a post-doc in machine learning. Their goal is to use artificial intelligence to speed up care coordination and improve patient outcomes. Dr. Mansi was motivated to start the company after seeing how preventable delays cost a patient their life, even after successful brain surgery. The company emphasizes putting patients first, recognizing that time is critical in treatment, and focuses on quality, compassion, and accountability.
Viz.ai combines routine workflow automation with AI-based disease detection. Its core capabilities include:
Workflow and coordination
AI disease detection and care support
By automating coordination and speeding up detection, Viz.ai aims to improve diagnosis and treatment across multiple therapeutic areas and free clinicians to focus on personalized patient care.
Viz.ai is built for healthcare professionals and hospital departments, including:
Viz.ai is accessed through the Viz.ai website and integrates directly into hospital systems and existing clinical workflows. Once connected, the platform monitors relevant imaging and patient data, automatically sending real-time alerts and recommendations to the appropriate care teams so coordination happens without added manual steps.
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