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Viz.ai

Viz.ai accelerates critical care decisions with FDA-cleared AI tools for medical imaging and real-time team coordination.

Viz.ai screenshot

Category: AI Detection

Price Model: Subscription

Audience: Business

Trustpilot Score: 0

Trustpilot Reviews: N/A

Our Review

Viz.ai: Revolutionizing Healthcare with AI-Powered Care Coordination

Viz.ai is a leading AI-powered care coordination platform designed to enhance clinical outcomes across neurology, cardiology, vascular, trauma, and radiology specialties. Trusted by over 1,700 hospitals and 60,000+ healthcare providers, it leverages more than 50 FDA-cleared algorithms to analyze critical medical imaging data—including CT scans, EKGs, and echocardiograms—enabling real-time detection of life-threatening conditions like Large Vessel Occlusion, intracranial hemorrhage, pulmonary embolism, and aortic disease. The platform accelerates diagnosis and treatment decisions with AI-driven alerts delivered in under 36 seconds, ensuring care teams respond within minutes. With specialized suites such as Viz Neuro, Viz Cardio, Viz Vascular, Viz Trauma, and Viz Radiology, Viz.ai One™ seamlessly integrates into clinical workflows via EHR and PACS systems, while supporting secure, HIPAA-compliant communication across mobile and desktop devices. Backed by extensive clinical validation and 100+ peer-reviewed publications, Viz.ai is committed to transparency, offering detailed performance metrics and continuous post-market accuracy assessments. It also empowers life sciences innovation through partnerships and pilot programs in oncology, respiratory, and rare diseases, with tools like Viz Recruit supporting clinical trial enrollment. Comprehensive support, including 24/7 on-call specialists and a robust training ecosystem via Viz Academy, ensures smooth adoption and ongoing education.

Key Features:

  • FDA-cleared AI algorithms (50+)
  • Real-time AI-powered alerts with <36 seconds scan-to-alert time
  • Specialized clinical suites: Viz Neuro, Viz Cardio, Viz Vascular, Viz Trauma, Viz Radiology
  • Detection of critical conditions: Large Vessel Occlusion (LVO), Intracranial Hemorrhage (ICH), Cerebral Aneurysm, CT Perfusion (CTP), Hyperdensity Measurements, Subdural Hemorrhage, Aortic Disease, Pulmonary Embolism, Hypertrophic Cardiomyopathy (HCM)
  • Integration with EHR and PACS systems
  • Secure, HIPAA-compliant communication across care teams
  • Mobile and desktop access with advanced 3D CTA imaging
  • AI-Enhanced Echo Reports via Us2.ai Echo Copilot™
  • Viz Connect for seamless cryptogenic stroke referrals
  • Viz AI-Powered Care Accelerator to guide patients to timely treatment
  • Clinical validation data with high sensitivity and specificity (e.g., LVO: 96% sensitivity, 94% specificity)
  • 24/7 on-call clinical specialists and implementation experts
  • Viz Academy: clinician-led on-demand training for nurses, technologists, and physicians
  • Pilot programs in oncology, cardiology, respiratory, neurology, and osteoporosis
  • Partnerships with life sciences, pharma, and medical device companies
  • Integration with Microsoft Cloud for Healthcare
  • ISO-27001:2022 and SOC 2 Type 2 compliance
  • Trust Center for transparency, privacy, and security
  • Extensive resources: webinars, case studies, white papers, podcasts, brochures, and publications
  • Dedicated Help Center and EU-specific user guides

Pricing: Viz.ai operates on a subscription-based model, offering tailored solutions for healthcare institutions and life sciences partners. While specific pricing details are not publicly listed, the platform provides pilot programs and enterprise-level customization, indicating a flexible, high-value subscription approach.

Conclusion: Viz.ai stands at the forefront of AI in healthcare, delivering precision, speed, and collaboration to improve patient outcomes across critical care specialties. Its clinically validated, FDA-cleared tools, combined with enterprise-grade security and comprehensive support, make it an indispensable partner in modern medical imaging and care coordination.

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