.svg)
Viz.ai delivers a comprehensive care coordination platform powered by artificial intelligence, designed to transform how healthcare organizations detect and treat critical conditions. The platform features more than 50 FDA-cleared algorithms that analyze medical imaging data including CT scans, EKGs, echocardiograms, and other diagnostic inputs, providing real-time insights that accelerate treatment decisions.
The system automatically detects suspected diseases across neurovascular, cardiovascular, vascular, trauma, radiology, and oncology therapeutic areas. When a potential condition is identified, the platform immediately notifies relevant care teams through mobile and desktop devices, enabling rapid coordination between specialists, radiologists, and emergency responders. This automated workflow reduces the time from imaging to intervention, helping to ensure patients receive appropriate treatment within critical time windows.
Viz.ai One integrates seamlessly with existing hospital infrastructure including electronic health record systems and picture archiving communication systems. The platform embeds directly into radiologist workflows, allowing specialists to view AI-generated assessments within their standard tools while maintaining access to original imaging data. Healthcare organizations can coordinate care across referring centers and treating centers, with the platform facilitating communication between distributed teams in seconds.
The solution has demonstrated measurable improvements in clinical outcomes, achieving 73% faster notification times from CT angiography to team activation compared to conventional methods. Healthcare providers using the platform have documented significant time savings in stroke care, vascular emergencies, and cardiac events. The company's clinical validation program has produced over 100 peer-reviewed publications demonstrating real-world effectiveness across diverse patient populations and hospital settings.
Viz.ai supports both provider organizations and life sciences partners. For pharmaceutical and medical device companies, the platform enables patient identification for clinical trials, helps close gaps in patient care pathways, and accelerates patient access to emerging therapies. The company provides dedicated implementation support, 24/7 clinical specialists, and comprehensive training through Viz Academy to ensure successful deployment and ongoing optimization of the platform.
- Automatically detect large vessel occlusion and hemorrhagic stroke on CT imaging to expedite neurological intervention
- Identify suspected pulmonary embolism and aortic disease to enable rapid vascular treatment decisions
- Screen for hypertrophic cardiomyopathy using electrocardiogram analysis to improve cardiovascular diagnosis
- Coordinate multidisciplinary trauma response by detecting critical injuries across multiple body systems
- Facilitate real-time communication between emergency departments and specialist teams for time-sensitive conditions
- Accelerate clinical trial enrollment by identifying eligible patients through automated imaging analysis
- Monitor post-acute stroke patients to ensure appropriate follow-up care and prevent secondary events
- Enable radiologists to review AI-generated assessments within existing PACS workflows
- Connect referring hospitals with comprehensive stroke centers to optimize patient transfer decisions
- Support pharmaceutical research by identifying patient populations for targeted therapy development
- Streamline oncology care coordination by detecting suspicious findings requiring specialist evaluation
- Provide mobile access to critical imaging findings for on-call specialists responding from remote locations
