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

Applications of AI (244) AI Language Models in Health Care (164) Computer-Aided Diagnosis (223) Responsible Health AI (31) Cardiac Diagnostics (27) Machine Learning (1965) Clinical Information and Decision Making (1806) Artificial Intelligence (1992)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75910, first published .
Comparative Diagnostic Performance of a Multimodal Large Language Model Versus a Dedicated Electrocardiogram AI in Detecting Myocardial Infarction From Electrocardiogram Images: Comparative Study

Comparative Diagnostic Performance of a Multimodal Large Language Model Versus a Dedicated Electrocardiogram AI in Detecting Myocardial Infarction From Electrocardiogram Images: Comparative Study

Comparative Diagnostic Performance of a Multimodal Large Language Model Versus a Dedicated Electrocardiogram AI in Detecting Myocardial Infarction From Electrocardiogram Images: Comparative Study

Authors of this article:

Haemin Lee1, 2 Author Orcid Image ;   Sooyoung Yoo3 Author Orcid Image ;   Joonghee Kim1, 2 Author Orcid Image ;   Youngjin Cho2, 4 Author Orcid Image ;   Dongbum Suh1, 2 Author Orcid Image ;   Keehyuck Lee5 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Haemin Lee   1, 2 ;   Sooyoung Yoo   3 , PhD ;   Joonghee Kim   1, 2 , MD, PhD ;   Youngjin Cho   2, 4 , MD, PhD ;   Dongbum Suh   1, 2 * , MD ;   Keehyuck Lee   5 * , MD, MBA

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

2 ARPI Inc, Seongnam-si, Gyeonggi-do, Republic of Korea

3 Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea

4 Department of Internal Medicine, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea

5 Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Keehyuck Lee, MD, MBA
  • Department of Family Medicine, Seoul National University Bundang Hospital
  • 82 Gumi-ro 173 beon-gil, Bundang-gu
  • Seongnam-si, Gyeonggi-do 13620
  • Republic of Korea
  • Phone: 82 10-2514-7428
  • Email: chrisruga@snubh.org