Viz.ai announces positive new data from large aortic dissection AI real-world study

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Viz.ai recently announced new data from a large aortic dissection artificial intelligence (AI) real-world study that supports the use of its AI technology for the detection of suspected aortic dissection. Data from the new study, which were presented this week at VEITHsymposium 2022 (Nov. 15–19) in New York City, validate the Viz.ai’s dissection detection algorithm, according to the company.

An abstract by Viz.ai, in collaboration with Avicenna.ai, entitled “Real-world validation of a deep learning AI-based detection algorithm for suspected aortic dissection,” reported the performance of the Viz Aortic Dissection Algorithm on 1,303 CT angiography scans collected from over 200 U.S. cities. The algorithm demonstrated a sensitivity of 94.2%, specificity of 97.3%, as well as a positive predictive value of 80.1% and negative predictive value of 99.3%.

The authors concluded: “These findings provide significant real-world validation of a deep-learning AI-based detection algorithm for suspected aortic dissection. Automated detection may have a positive downstream effect on patient triage leading to accelerated care coordination, earlier diagnosis, timely initiation of life-saving interventions, and better patient outcomes.”

According to a company press release, Viz Aortic accelerates time-to-notification to specialists giving them access to clinically-relevant imaging and patient information for appropriate patient treatment plans. The solution includes AI-powered alerts, high-fidelity mobile image viewing, relevant clinical information, and HIPAA-compliant communication to facilitate workflow and improve patient care for all aortic conditions.

“Acute aortic dissection is a deadly disease, and mortality for an untreated dissection is about 50% by 24 hours. In 2011, the IRAD [International Registry of Acute Aortic Dissections] investigators showed us that there is often a delayed recognition and treatment of acute aortic dissection, leaving many patients at risk for another cardiovascular event,” said Jayme Strauss, chief clinical officer at Viz.ai. “These new data shows that Viz Aortic has the power to help care teams coordinate and improve care for these patients in a real-world setting with a diverse patient population.”

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