Overview
Viz.ai is an FDA-approved AI-driven medical imaging diagnostic and care coordination platform that focuses on real-time analysis of medical images such as CT scans using advanced algorithms to assist clinical decision-making. Its core product, Viz Neuro Suite, can automatically identify key signs of stroke such as large vessel occlusion (LVO) and accelerate the transfer and treatment process. The platform also extends to multiple specialties including cardiology, pulmonology, and oncology. With over 50 FDA-cleared algorithms, Viz.ai aims to bridge the information gap between patients, clinicians, and life-saving treatments, improving medical efficiency and patient outcomes.
Key Features
- AI Imaging Analysis Engine: Integrates over 50 FDA-cleared algorithms to automatically analyze CT, CTP, and other images, quickly identifying acute conditions such as large vessel occlusion, intracerebral hemorrhage, aortic disease, and pulmonary embolism, reducing manual interpretation time.
- Intelligent Care Coordination Platform: The Viz One enterprise platform supports real-time collaboration across institutions, automatically pushes alerts to specialist mobile devices, and integrates workflows to accelerate transfer, consultation, and treatment decisions.
- Multi-Specialty Disease Coverage: Offers modules including Viz Neuro Suite (stroke, aneurysm), Viz Vascular Suite (aorta, pulmonary embolism), Viz Cardio Suite (cardiomyopathy, ACS), Viz Pulmonary Suite (pulmonology), and Viz Oncology Suite (oncology) to meet the needs of different departments.
- Workflow Assistant Viz Assist: Built-in intelligent workflow engine automatically tracks the patient's entire process from image acquisition to treatment, reminds key milestones, reduces delays, and improves team collaboration efficiency.
- Clinical Research and Education Support: Provides clinical research publications, white papers, webinars, and HCM education series through Viz Academy, helping medical teams continuously learn and validate the real-world effectiveness of AI tools.
- Cloud and Data Security Integration: Collaborates with Microsoft Cloud for Healthcare to ensure data compliance and security, supports large-scale deployment and cross-institutional data sharing, and provides a trust center to protect privacy.
Use Cases
- Rapid identification of large vessel occlusion stroke patients in the emergency department with automatic notification of the neurointerventional team, reducing time to thrombolysis or thrombectomy
- Real-time image sharing and transfer decision-making within multi-hospital networks, optimizing regional stroke center collaboration workflows
- Automatic analysis of CT angiography in cardiology departments to assist in diagnosing aortic dissection or pulmonary embolism, accelerating emergency surgery scheduling
Pros
- Over 50 FDA-cleared AI algorithms with extensive clinical validation and high reliability
- Comprehensive coverage of multiple specialties including neurology, cardiology, pulmonology, and oncology
- Intelligent workflow automatic push and coordination significantly reduces time from acute diagnosis to treatment
- Rich clinical education resources and research support to help medical teams continuously improve
- Partnership with Microsoft Cloud ensures data security and compliance
Pricing
Viz.ai is a paid commercial product. Specific pricing requires contacting the sales team, typically customized based on hospital size, deployed modules, and number of users.
Summary
Viz.ai is suitable for large hospitals, regional medical networks, and emergency centers, especially those needing to quickly handle time-sensitive conditions such as stroke and cardiovascular emergencies. Its core advantage lies in AI-driven real-time image analysis and automated care coordination, which can significantly shorten the window from diagnosis to treatment, improving patient survival rates and prognosis quality.