Journal of the American College of Cardiology

AI-ECG Detection of Structural Heart Disease in the Community Setting: Transportability and Spectrum Effects in the PREVUE-VALVE Study

By Timothy Joseph Poterucha, John Weston Hughes, Michael I. Brener, David J. Cohen

Cohort study of 2,402 peopleBiomarkers

Independent replication, multicentre, registered NCT05357404, declared ties to: Cardiovascular Research Foundation, Edwards Lifesciences, Abbott and 47 more

Paper

Echonext
Structural heart disease
Systolic heart failure
Tricuspid regurgitation
Humans

The paper

Mayo Clinic; Columbia University Irving Medical Center

Journal of the American College of Cardiology, 18 Aug 2026

doi.org/10.1016/j.jacc.2026.06.013 PubMed 42615442

AI-ECG Detection of Structural Heart Disease in the Community Setting: Transportability and Spectrum Effects in the PREVUE-VALVE Study

The paper

AI-based ECG detects and predicts hypertrophic cardiomyopathy

Electrocardiogram heart age reflects past electrical burden but not future aging pace

Deep learning matches experts in scoring aortic valve calcium

AI detects coronary calcium in adults with zero scores

AI-ECG Detection of Structural Heart Disease in the Community Setting: Transportability and Spectrum Effects in the PREVUE-VALVE Study

The paper

Related

AI-based ECG detects and predicts hypertrophic cardiomyopathy

Electrocardiogram heart age reflects past electrical burden but not future aging pace

Deep learning matches experts in scoring aortic valve calcium

AI detects coronary calcium in adults with zero scores