A multimodal video-based AI biomarker for aortic stenosis development and progression

JAMA Cardiology

2024-04-06

(Press-News.org) 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.

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time https://jamanetwork.com/journals/jamacardiology/fullarticle/10.1001/jamacardio.2024.0595?guestAccessKey=467632d9-aa45-4d7e-9606-fb432c66d48c&utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=040624

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A multimodal video-based AI biomarker for aortic stenosis development and progression

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