Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning.

Journal: IEEE journal of translational engineering in health and medicine
Published Date: Jan 1, 2023

Abstract

OBJECTIVE: Early revascularization of the occluded coronary artery in patients with ST elevation myocardial infarction (STEMI) has been demonstrated to decrease mortality and morbidity. Currently, physicians rely on features of electrocardiograms (ECGs) to identify the most likely location of coronary arteries related to an infarct. We sought to predict these culprit arteries more accurately by using deep learning.

Authors

  • Li-Ming Tseng
    Department of Emergency MedicineShin Kong Wu Ho-Su Memorial Hospital Taipei 11101 Taiwan.
  • Cheng-Yen Chuang
    Division of CardiologyDepartment of Internal MedicineShin Kong Wu Ho-Su Memorial Hospital Taipei 11101 Taiwan.
  • Su-Kiat Chua
    Division of CardiologyDepartment of Internal MedicineShin Kong Wu Ho-Su Memorial Hospital Taipei 11101 Taiwan.
  • Vincent S Tseng
    Computer Science and Information Engineering, National Chiao Tung University, Hsinchu, Taiwan.

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