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Viz.ai Launches AI-Powered Viz Vascular Suite

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Viz.ai, the leader in AI-powered disease detection and intelligent care coordination announced the launch of VizTM Vascular Suite, AI-powered software enabling vascular care teams to automatically detect and triage care for suspected pulmonary embolism, right heart strain, aortic dissection, and abdominal aortic aneurysm (AAA).1 Viz.ai submitted a new 510(k) application to the U.S. Food & Drug Administration (FDA) for the AAA algorithm.

โ€œRecognizing the symptoms of serious vascular conditions, such as aortic dissections, is hugely important because any delay in treatment can have a direct impact on patient outcomes,โ€ said Philip Batista, MD, Associate Program Director, Vascular and Endovascular Surgery Residency, Cooper. โ€œWhen Viz identifies an abnormal scan, it quickly notifies the appropriate specialists regardless of their location, facilitating seamless communication via mobile application. Weโ€™ve been using the Viz software for the last several months and have seen improvements in patient care across our institution.โ€

The Viz Vascular Suite uses artificial intelligence to automatically analyze an array of imaging modalities, including computerized tomography (CT), electrocardiogram (ECG), and more for suspected vascular diseases. If a suspected pathology is found, the app automatically alerts and displays high-fidelity patient scans on providersโ€™ mobile devices. Clinicians can use Viz Vascular Suite to remotely coordinate vascular pathology care within a hospital systemโ€™s hub and spoke network and enable synchronous, HIPAA-compliant communication among specialists. The platform is enhanced by AI for immediate team activation and facilitates informed, efficient treatment decisions.

โ€œWe set out to build a solution where any patient with life threatening diseases can benefit from AI-powered care coordination with triage and real-time mobile communication. The Viz Vascular Suite will bring the advantages of intelligent care coordination to even more patients and help clinical teams achieve better clinical outcomes,โ€ said Chris Mansi, CEO of Viz.ai. โ€œThe feedback from our early adopters has been highly positive, and we look forward to expanding access to this solution to our over 1,300 hospital customer base.โ€

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