Artificial Intelligence–Derived Electrocardiographic Age Predicts Mortality in Adults With Congenital Heart Disease

Artificial Intelligence–Derived Electrocardiographic Age Predicts Mortality in Adults With Congenital Heart Disease

Background: Artificial intelligence (AI) can be used to estimate age from the electrocardiogram (AI-ECG age). The difference between AI-ECG age and chronological age (delta-age) is an independent predictor of mortality in the general population. Objectives: The purpose of this study was to assess th...

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Main Authors: Scott Anjewierden, MD, Donnchadh O'Sullivan, MB, BCh, BAO, Kathryn E. Mangold, PhD, Itzhak Zachi Attia, PhD, Francisco Lopez-Jimenez, MD, Paul A. Friedman, MD, Alexander C. Egbe, MBBS, MPH, Heidi M. Connolly, MD, William R. Miranda, MD, Samuel J. Asirvatham, MD, Jennifer Dugan, Katia Bravo-Jaimes, MD, Talha Niaz, MBBS, Malini Madhavan, MBBS, Luke J. Burchill, MBBS, PhD
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:JACC: Advances
Subjects:
adults with congenital heart disease
artificial intelligence
congenital heart disease
mortality
risk factor
Online Access:http://www.sciencedirect.com/science/article/pii/S2772963X25001954
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