Clinical Applications, Methodology, and Scientific Reporting of Electrocardiogram Deep-Learning Models: A Systematic Review.

Journal: JACC. Advances
Published Date: Nov 8, 2023

Abstract

BACKGROUND: The electrocardiogram (ECG) is one of the most common diagnostic tools available to assess cardio-vascular health. The advent of advanced computational techniques such as deep learning has dramatically expanded the breadth of clinical problems that can be addressed using ECG data, leading to increasing popularity of ECG deep-learning models aimed at predicting clinical endpoints.

Authors

  • Vennela Avula
    Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Katherine C Wu
    Division of Cardiology, Johns Hopkins University Department of Medicine, Baltimore, Maryland, USA.
  • Richard T Carrick
    Division of Cardiology, Johns Hopkins University Department of Medicine, Baltimore, Maryland, USA.

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