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](https://asset.jmir.pub/assets/088758d8c4d865522dada1a59872df79.png 480w,https://asset.jmir.pub/assets/088758d8c4d865522dada1a59872df79.png 960w,https://asset.jmir.pub/assets/088758d8c4d865522dada1a59872df79.png 1920w,https://asset.jmir.pub/assets/088758d8c4d865522dada1a59872df79.png 2500w)
Journals
- 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 View
- 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