Medical Xpress September 26, 2024
In a new study published in JACC: Advances, researchers at Beth Israel Deaconess Medical Center (BIDMC) successfully validated an artificial intelligence tool that detects severe aortic stenosis (AS) with over 98% accuracy, a common and serious valve disease affecting about five% of adults older than 65 in the U.S.
Jordan B. Strom, MD, MSc, Head of Cardiovascular Imaging Research at the Richard A. and Susan F. Smith Center for Outcomes Research at BIDMC, and colleagues tested the artificial intelligence decision support algorithm (AI-DSA) using routine echocardiographic reports from more than 31,000 U.S. Medicare beneficiaries at BIDMC.
The AI-DSA identified 98% of patients who met clinical guidelines for severe AS and identified more than a thousand patients who likely had severe...
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