This paper is in the following e-collection/theme issue:

Novel Sensors and Data Acquisition Methods in Cardiology (191) Artificial Intelligence (1214) Decision Support for Health Professionals (1145) Clinical Information and Decision Making (1339) Coronary Heart Disease (73)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44791, first published .
Feasibility of Artificial Intelligence–Based Electrocardiography Analysis for the Prediction of Obstructive Coronary Artery Disease in Patients With Stable Angina: Validation Study

Feasibility of Artificial Intelligence–Based Electrocardiography Analysis for the Prediction of Obstructive Coronary Artery Disease in Patients With Stable Angina: Validation Study

Feasibility of Artificial Intelligence–Based Electrocardiography Analysis for the Prediction of Obstructive Coronary Artery Disease in Patients With Stable Angina: Validation Study

Authors of this article:

Jiesuck Park1 Author Orcid Image ;   Yeonyee Yoon1 Author Orcid Image ;   Youngjin Cho1 Author Orcid Image ;   Joonghee Kim2 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Jiesuck Park   1 , MD ;   Yeonyee Yoon   1 * , MD, PhD ;   Youngjin Cho   1 * , MD, PhD ;   Joonghee Kim   2 , MD

1 Department of Cardiology, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Republic of Korea

2 Department of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Yeonyee Yoon, MD, PhD
  • Department of Cardiology
  • Seoul National University Bundang Hospital
  • 82, Gumi-ro 173 beon-gil, Bundang-gu
  • Seongnam, Gyeonggi-do, 13620
  • Republic of Korea
  • Phone: 82 31-787-7072
  • Email: yeonyeeyoon@gmail.com