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

JAMA Cardiology

2025-04-16

(Press-News.org) 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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AI–enabled prediction of heart failure risk from single-lead electrocardiograms

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