Accessibility settings

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

Applications of AI (344) Cardiac Diagnostics (36) Theme Issue (2023): Generative & Multimodal AI in Digital Cardiovascular Medicine (8) Decision Support for Health Professionals (1637) Imaging Informatics (331) Generative Language Models Including ChatGPT (812)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74426, first published .
Effectiveness of the GPT-4o Model in Interpreting Electrocardiogram Images for Cardiac Diagnostics: Diagnostic Accuracy Study

Effectiveness of the GPT-4o Model in Interpreting Electrocardiogram Images for Cardiac Diagnostics: Diagnostic Accuracy Study

Effectiveness of the GPT-4o Model in Interpreting Electrocardiogram Images for Cardiac Diagnostics: Diagnostic Accuracy Study

Authors of this article:

Haya Engelstein1 Author Orcid Image ;   Roni Ramon-Gonen2 Author Orcid Image ;   Avi Sabbag3, 4 Author Orcid Image ;   Eyal Klang5, 6 Author Orcid Image ;   Karin Sudri7 Author Orcid Image ;   Michal Cohen-Shelly7 Author Orcid Image ;   Israel Barbash4, 8 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Zhu Y, Shu X, Liu X, Li Y, Yi B, Ma D. Applications and challenges of large language models in anesthesiology: narrative review and future perspectives. Anesthesiology and Perioperative Science 2025;3(4) View
  2. Kokulu K, Akay M, Sert E. Accuracy of GPT-5 and GPT-4o in diagnosing STEMI from 12-Lead ECGs: A comparative study with cardiologists and emergency physicians. Heart & Lung 2026;78:102754 View