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AI-powered Pulmonary Embolism and Aortic Disease Modules Available Now on Viz.ai

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Viz.ai has introduced AI-driven modules for pulmonary embolism and aortic disease in the U.S. New modules will be presented at the 48th VEITHsymposium November 16-20 in Orlando, Fla., facilitating clinical decision making and improving care coordination for patients suffering from both life-threatening conditions.

Dr. Chris Mansi, Viz.ai CEO, and co-founder said, “The launch of these two new modules brings the power of the Viz Platform to a vast new faction of medical professionals and patients battling life-threatening conditions. This is a significant milestone in our mission to fundamentally improve how healthcare is delivered in the world.”

Aortic disease and PE may pose difficulties in diagnosing and handling care, with the average arrival time to treatment exceeding 8 hours for these emergent conditions. Viz.ai detects suspected aortic dissections and pulmonary embolisms in less than two minutes thanks to deep learning. Regardless of where a patient resides within the healthcare system, the modules are intended to ensure that a timely and appropriate clinical decision is made at the right time. Only Viz.ai offers a pulmonary embolism, stroke, and aortic disease care coordination solution powered by artificial intelligence (AI).

Dr. Richard Saxon, interventional radiologist at Tri-City and Palomar Health, San Marcos, Calif, said, “This technology has changed the way we triage and treat stroke patients, dramatically improving their care. In a similar fashion, I believe the Viz.ai PE and Aortic modules will enhance image interpretation with AI, dramatically improve the quality and speed of mobile image viewing and improve caregiver communication. This is truly the care coordination of the future.”

Using the new modules, advanced deep learning is leveraged to communicate time-sensitive information for making better decisions about treatment, including imaging studies and clinical information in real-time. Aortic and pulmonary imaging can be accessed via the cloud regardless of location.

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