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

Novel Sensors and Data Acquisition Methods in Cardiology (205) Artificial Intelligence (1475) Decision Support for Health Professionals (1228) Clinical Information and Decision Making (1463) Coronary Heart Disease (84)

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 (6) Tweetations (2) Metrics

Journals

  1. Park J, Kim J, Kang S, Lee J, Hong Y, Chang H, Cho Y, Yoon Y. Artificial intelligence–enhanced electrocardiography analysis as a promising tool for predicting obstructive coronary artery disease in patients with stable angina. European Heart Journal - Digital Health 2024;5(4):444 View
  2. Cho Y, Yoon M, Kim J, Lee J, Oh I, Lee C, Kang S, Choi D. Artificial Intelligence–Based Electrocardiographic Biomarker for Outcome Prediction in Patients With Acute Heart Failure: Prospective Cohort Study. Journal of Medical Internet Research 2024;26:e52139 View
  3. Cho Y, Kim J, Kim J, Yoon Y, Jung S. Image-based ECG analyzing deep-learning algorithm to predict biological age and mortality risks: interethnic validation. Journal of Cardiovascular Medicine 2024;25(11):781 View
  4. Kalyuta T, Emelyanova I, Suvorov V, Fedonnikov A. Artificial intelligence systems for predicting chronic ischemic heart disease outcomes in cardiac surgery patients based on presence of anemia: a literature review. Russian Medicine 2024;30(5):486 View
  5. Kim J, Jung J, Kim J, Cho Y, Lee E, Son D. Non-Inferiority Analysis of Electrocardiography Analysis Application vs. Point-of-Care Ultrasound for Screening Left Ventricular Dysfunction. Yonsei Medical Journal 2025;66 View
  6. Singh M, Babbarwal A, Pushpakumar S, Tyagi S. Interoception, cardiac health, and heart failure: The potential for artificial intelligence (AI)—driven diagnosis and treatment. Physiological Reports 2025;13(1) View