Viz.ai

Viz.ai offers an end-to-end AI-powered care coordination platform that connects patients, clinicians, and life-saving treatments. By applying sophisticated, FDA-cleared algorithms to medical imaging data, including CT scans, EKGs and echocardiograms, Viz.ai delivers real-time insights and automated assessments to accelerate diagnosis and treatment. The platform is used by more than 1,400 hospitals, with the goal of improving patient outcomes and streamlining care workflows.

Viz.ai has a range of solutions across different therapeutic areas:

• Viz Neuro: An AI-powered suite for neurovascular diseases, including large vessel occlusion, CT perfusion and hemorrhage.
• Viz Cardio: Solutions for cardiovascular needs, including hypertrophic cardiomyopathy.
• Viz Vascular: Designed to transform patient outcomes in vascular medicine, including pulmonary embolism and aortic disease.
• Viz Trauma: AI-powered capabilities to streamline communications and improve patient response in trauma centers.
• Viz Radiology: Enhances patient diagnosis and treatment by optimizing radiologists' time for informed decisions.

Some of the key benefits include:

• Auto-detection of suspected diseases: Fast detection across a broad range of therapeutic areas in seconds.
• Real-time communications: Enables teams to connect and respond quickly, anywhere and on any device.
• Easy integration: Dedicated support for easy onboarding, including 24/7 on-call clinical specialists and customer success teams.

Healthcare professionals have been impressed with the potential of Viz.ai to improve patient care and reduce treatment delays. The company is continually refining the platform through research and validation to ensure high performance and precision in disease detection and care coordination.

Pricing is not publicly disclosed, but you can request a demo to see the platform in action and discuss your specific needs. Viz.ai's focus on improving patient care through AI technology makes it a compelling option for healthcare organizations looking to optimize their care coordination and treatment processes.

Published on July 18, 2024