About The Study: In this cohort study of patients without severe aortic stenosis undergoing echocardiography or cardiac magnetic resonance imaging, a new artificial intelligence (AI)-based video biomarker was independently associated with aortic stenosis development and progression, enabling opportunistic risk stratification across cardiovascular imaging modalities as well as potential application on handheld devices.
About The Study: In this cohort study of patients without severe aortic stenosis undergoing echocardiography or cardiac magnetic resonance imaging, a new artificial intelligence (AI)-based video biomarker was independently associated with aortic stenosis development and progression, enabling opportunistic risk stratification across cardiovascular imaging modalities as well as potential application on handheld devices.
Authors: Rohan Khera, M.D., M.S., of the Yale School of Medicine in New Haven, Connecticut, is the corresponding author.
To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/
(doi:10.1001/jamacardio.2024.0595)
Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflicts of interest and financial disclosures, and funding and support.
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Media advisory: This study is being released to coincide with presentation at the American College of Cardiology’s Annual Scientific Session.
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Journal
JAMA Cardiology
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