A deep learning model could screen for coronary heart disease from a "pseudo-normal" electrocardiogram.

Journal: Medicine
Published Date: Jun 13, 2025

Abstract

BACKGROUND: This study aimed to develop a deep learning model (DLM) for rapid screening of coronary heart disease (CHD) using "pseudo-normal" electrocardiograms (ECGs), particularly focusing on patients who present with normal or near-normal ECGs at admission.

Authors

  • Yichu Zhang
    Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
  • Siqi Guo
    Heilongjiang Provincial Key Laboratory of Oilfield Applied Chemistry and Technology, School of Chemical Engineering, Daqing Normal University, Daqing 163712, China.
  • Ju Tian
    Medical College of Nanchang University, Nanchang, China.
  • Xiaoping Wang
    College of Food Science and Technology, Henan University of Technology Lianhua Street 100 Zhengzhou 450001 Henan Province P. R. China liuwei307@hotmail.com +86-371-67758022 +86-371-67758022.
  • Shanghua Ge
    Medical College of Nanchang University, Nanchang, China.
  • Juan Hua
    Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
  • Libin Deng
    Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, P.R. China.
  • Qi Chen
    Department of Gastroenterology, Jining First People's Hospital, Jining, China.

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