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    Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease

    Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease av 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

    Publicerad 2025-09-01

    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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