Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease

Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease

Background: Coronary artery disease (CAD) results in substantial morbidity and mortality. Objectives: The purpose of this study was to develop a deep learning model to detect CAD defined using diagnostic codes (“ECG2CAD”) and identify people at risk for adverse events using electrocardiograms (ECGs)...

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Main Authors: Shinwan Kany, MD, MSc, Samuel F. Friedman, PhD, Mostafa Al-Alusi, MD, Shaan Khurshid, MD, MPH, Joel T. Rämö, MD, PhD, Daniel Pipilas, MD, James P. Pirruccello, MD, Christopher Reeder, PhD, Anthony A. Philippakis, MD, PhD, Jennifer E. Ho, MD, Mahnaz Maddah, PhD, Patrick T. Ellinor, MD, PhD, Akl C. Fahed, MD, MPH
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:JACC: Advances
Subjects:
artificial intelligence
coronary artery disease
electrocardiogram
prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2772963X2500465X
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