A Deep-Learning Algorithm-Enhanced System Integrating Electrocardiograms and Chest X-rays for Diagnosing Aortic Dissection.

Journal: The Canadian journal of cardiology
Published Date: Oct 4, 2021

Abstract

BACKGROUND: Chest pain is the most common symptom of aortic dissection (AD), but it is often confused with other prevalent cardiopulmonary diseases. We aimed to develop deep-learning models (DLMs) with electrocardiography (ECG) and chest x-ray (CXR) features to detect AD and evaluate their performance.

Authors

  • Wei-Ting Liu
    Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Chin-Sheng Lin
    Division of Cardiology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
  • Tien-Ping Tsao
    Division of Cardiology, Heart Centre, Cheng Hsin General Hospital, Taipei 112, Taiwan.
  • Chia-Cheng Lee
    Planning and Management Office, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Cheng-Chung Cheng
    Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Jiann-Torng Chen
    Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
  • Chien-Sung Tsai
    Division of Cardiovascular Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center;
  • Wei-Shiang Lin
    Division of Cardiology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
  • Chin Lin
    School of Public Health, National Defense Medical Center, Taipei, Taiwan.

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