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Viz.ai

AI-powered care coordination solution for accelerated diagnosis and treatment.

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Description

Viz.ai offers an AI-powered care coordination platform designed to enhance patient care within healthcare systems. It employs advanced, FDA-cleared algorithms to analyze diverse medical imaging data, including CT scans, EKGs, and echocardiograms. By providing real-time insights and automated assessments, the platform aims to significantly reduce the time taken for diagnosis and the initiation of appropriate treatments.

The system facilitates improved communication and coordination among clinical teams by automatically detecting suspected diseases across multiple therapeutic areas such as neurology, cardiology, vascular medicine, trauma, and radiology. Viz.ai integrates into existing hospital workflows and provides mobile and desktop access, ensuring timely alerts and access to critical patient information for faster, more informed decision-making. It also partners with life sciences companies to develop specialized solutions and support clinical research.

Key Features

  • AI-Powered Medical Image Analysis: Processes CT scans, EKGs, echocardiograms, and more.
  • Automated Disease Detection: Identifies suspected conditions like LVO, PE, Aortic Disease, HCM in seconds.
  • Care Coordination Platform: Connects clinical teams for streamlined communication and workflow.
  • Real-Time Alerts: Notifies relevant specialists instantly on mobile or desktop devices.
  • Multi-Specialty Suites: Offers tailored solutions for Neuro, Cardio, Vascular, Trauma, and Radiology.
  • Clinical Validation: Proven to save time and improve patient and economic outcomes.
  • Life Sciences Collaboration: Develops custom solutions and aids clinical trial enrollment.
  • Integration Capabilities: Designed to work within existing hospital systems.
  • 24/7 Support: Includes clinical specialists, implementation experts, and customer success teams.

Use Cases

  • Accelerating stroke diagnosis and treatment (e.g., LVO detection).
  • Rapid detection of Pulmonary Embolism.
  • Identifying Aortic Disease.
  • Screening for Hypertrophic Cardiomyopathy.
  • Improving coordination in trauma care.
  • Optimizing radiology workflows and reporting.
  • Streamlining communication between specialists.
  • Enhancing clinical trial recruitment and research.
  • Detecting Cerebral Aneurysms and Hemorrhages.

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