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Applications of AI (391) Clinical Information and Decision Making (2159) Machine Learning (2323) Artificial Intelligence (2475) Computer-Aided Diagnosis (289) AI Language Models in Health Care (296) Cardiac Diagnostics (37) Responsible Health AI (108)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75910, first published .
Laptop displaying ECG Buddy software with patient data and graphs

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 (5) Tweetations Metrics

Journals

  1. 薛 齐. Research Progress and Application of Echocardiography, Cardiac Ultrasound, and Cardiac MRI in the Prognostic Value of AMI. Advances in Clinical Medicine 2026;16(02):1666 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
  3. Stelling H, Kraus A, Grieb G, Breidung D, Güler I. Artificial Intelligence for Biomedical Diagnostics: Diagnostic Accuracy and Reliability of Multimodal Large Language Models in Electrocardiogram Interpretation. Life 2026;16(4):681 View
  4. Soubh N, Rasenack E, Haarmann H, Wiedmann F, Zabel M, Schmidt C, Suliman R, Bergau L. Performance of Vision-Enabled Large Language Models in Image-Based ECG Interpretation: Exploratory Evaluation (Preprint). Journal of Medical Internet Research 2025 View
  5. Palermi S, Vecchiato M, Iacovone T, Anselmino M, Adorisio R, Biffi A, Borrelli F, Brugin E, Cantarutti N, Cavarretta E, Cominacini M, Corsi M, D’Ascenzi F, De Feo V, Di Gioia G, Dorelli G, Foccardi G, Gallina S, Giangrandi S, Graziano F, Lodi E, Livio A, Maestrini V, Manfredi G, Mansour D, Modena M, Neunhaeuserer D, Nigro A, Palermi A, Pellegrino A, Pelliccia A, Quattrini F, Ricci F, Scarzella F, Squeo M, Tonelli R, Zanardo E, Zorzi A, D’Ascenzo F, De Ferrari G, Saglietto A. ChatGPT’s Limitations in Athlete ECG Interpretation: Evidence from a Multicenter Diagnostic Study. Journal of Cardiovascular Development and Disease 2026;13(5):191 View