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AI–enabled prediction of heart failure risk from single-lead electrocardiograms

04.16.25 | JAMA Network

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About The Study: Across multinational cohorts, a noise-adapted artificial intelligence (AI)-electrocardiogram (ECG) model estimated heart failure risk using lead I ECGs, suggesting a potential heart failure risk-stratification strategy requiring prospective study using wearable and portable ECG devices.

Corresponding Author: To contact the corresponding author, Rohan Khera, MD, MS, email rohan.khera@yale.edu .

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamacardio.2025.0492)

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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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.2025.0492?guestAccessKey=aadc3c8c-03cf-4e4b-9b5a-4e521211870b&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=041625

JAMA Cardiology

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JAMA Network Media Relations
JAMA Network
mediarelations@jamanetwork.org

How to Cite This Article

APA:
JAMA Network. (2025, April 16). AI–enabled prediction of heart failure risk from single-lead electrocardiograms. Brightsurf News. https://www.brightsurf.com/news/12DPPME1/aienabled-prediction-of-heart-failure-risk-from-single-lead-electrocardiograms.html
MLA:
"AI–enabled prediction of heart failure risk from single-lead electrocardiograms." Brightsurf News, Apr. 16 2025, https://www.brightsurf.com/news/12DPPME1/aienabled-prediction-of-heart-failure-risk-from-single-lead-electrocardiograms.html.