Aidoc
Enterprise clinical AI operating system for radiology and acute care
AI-powered care coordination platform for time-sensitive disease detection
Viz.ai is an AI care coordination platform used by 2,000+ hospitals, with 50+ FDA-cleared algorithms that detect time-critical conditions like large vessel occlusion strokes and coordinate specialist care on mobile to reduce treatment delays.
Viz.ai is a leading AI-powered care coordination platform focused on disease detection and clinical workflow optimization. Driven by more than 50 FDA-cleared algorithms, it analyzes medical imaging to identify time-sensitive conditions and instantly alerts the right clinical teams, closing gaps between patients, clinicians, and life-saving treatment. Its flagship stroke solution detects suspected large vessel occlusions and notifies specialists who can view images on mobile devices and coordinate thrombectomy decisions faster. Peer-reviewed studies have shown significant improvements, including large reductions in door-in-door-out and interfacility transfer times, which are associated with better patient outcomes. Beyond stroke, the platform extends to cardiology and other conditions, with tools like Viz Connect linking neurology and cardiology teams. Trusted by more than 2,000 hospitals, Viz.ai has become a widely adopted example of AI applied to acute care coordination, where speed directly affects survival and disability, distinguishing it from documentation-focused clinical AI tools.
Viz.ai is an AI care coordination platform used by 2,000+ hospitals, with 50+ FDA-cleared algorithms that detect time-critical conditions and speed treatment, backed by clinical studies.
Viz.ai focuses on applying AI to acute care coordination, where speed directly affects patient survival and disability. It has become one of the most widely adopted clinical AI platforms.
The company's technology is used by more than 2,000 hospitals and is supported by a growing body of peer-reviewed research demonstrating improvements in stroke care metrics.
Powered by more than 50 FDA-cleared algorithms, Viz.ai analyzes medical imaging to detect conditions such as large vessel occlusion strokes and alerts specialists on mobile devices for rapid coordination.
The platform integrates with hospital imaging and EHR systems and extends beyond stroke to cardiology and other conditions, with tools like Viz Connect linking care teams for follow-up.
Viz.ai targets hospitals and health systems, particularly stroke, neurology, and cardiology teams, that need to reduce delays in detecting and treating time-critical conditions.
Neurologists, interventionalists, cardiologists, and care coordinators.
Hospital executives, service line leaders, and clinical informatics teams.
Radiology and IT departments evaluating integration and workflow fit.
Hospitals and health systems with acute stroke and cardiac programs that need faster imaging-driven detection and specialist coordination.
Viz.ai has raised significant venture funding across multiple rounds; verify the latest figures and investors with reputable sources.
It detects time-sensitive conditions such as large vessel occlusion strokes and extends to cardiology and other areas via 50+ FDA-cleared algorithms.
It automatically analyzes imaging and alerts the right specialists on mobile, enabling faster coordination and treatment decisions.
Yes. Peer-reviewed studies show reductions in stroke transfer and door-in-door-out times.
More than 2,000 hospitals use the platform.
Yes. It integrates with PACS imaging and EHR systems as part of clinical workflows.
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Enterprise clinical AI operating system for radiology and acute care
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