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

Research Letter (51) Digital Health, Telehealth and e-Innovation in Clinical Settings (508) Artificial Intelligence (1893) Chatbots and Conversational Agents (678) Generative Language Models Including ChatGPT (584) Cardiology (211) Decision Support for Health Professionals (1422)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54607, first published .
Multimodal ChatGPT-4V for Electrocardiogram Interpretation: Promise and Limitations

Multimodal ChatGPT-4V for Electrocardiogram Interpretation: Promise and Limitations

Multimodal ChatGPT-4V for Electrocardiogram Interpretation: Promise and Limitations

Authors of this article:

Lingxuan Zhu1 Author Orcid Image ;   Weiming Mou2 Author Orcid Image ;   Keren Wu1 Author Orcid Image ;   Yancheng Lai1 Author Orcid Image ;   Anqi Lin1 Author Orcid Image ;   Tao Yang3 Author Orcid Image ;   Jian Zhang1 Author Orcid Image ;   Peng Luo1 Author Orcid Image
Article Authors Cited by (14) Tweetations Metrics

Journals

  1. Günay S, Öztürk A, Yiğit Y. The accuracy of Gemini, GPT-4, and GPT-4o in ECG analysis: A comparison with cardiologists and emergency medicine specialists. The American Journal of Emergency Medicine 2024;84:68 View
  2. Meddeb A, Ebert P, Bressem K, Desser D, Dell'Orco A, Bohner G, Kleine J, Siebert E, Grauhan N, Brockmann M, Othman A, Scheel M, Nawabi J. Evaluating local open-source large language models for data extraction from unstructured reports on mechanical thrombectomy in patients with ischemic stroke. Journal of NeuroInterventional Surgery 2024:jnis-2024-022078 View
  3. Avidan Y, Tabachnikov V, Court O, Khoury R, Aker A. In the face of confounders: Atrial fibrillation detection – Practitioners vs. ChatGPT. Journal of Electrocardiology 2025;88:153851 View
  4. Çamkıran V, Tunç H, Achmar B, Ürker T, Kutlu İ, Torun A. Artificial intelligence (ChatGPT) ready to evaluate ECG in real life? Not yet!. DIGITAL HEALTH 2025;11 View
  5. Nguyen H. Editorial Commentary to Beyond Assistance: Are Large Language Models Ready for Autonomous Electrocardiogram Interpretation?. Canadian Journal of Cardiology 2025;41(7):1415 View
  6. Avidan Y, Naoum I, Khoury R, Zahra S, Dov N, Schliamser J, Danon A, Aker A. Can ChatGPT accurately detect atrial fibrillation using smartwatch ECG?. Heart & Lung 2025;73:90 View
  7. Huang L, Lin A, Li H, Wang Q, Shen J, Jiang A, Qi C, Gan W, Zhu L, Mou W, Zeng D, Tang B, Xiao M, Chu G, Zhang J, Cheng Q, Luo P, Wei T. Unveiling large multimodal models in pulmonary CT: A comparative assessment of generative AI performance in lung cancer diagnostics. VIEW 2025 View
  8. Altinbilek E, Az A, Sogut O, Dogan Y, Akdemir T, Belen E, Biter H, Saricicek T, Ozcomlekci M, Kilic N. Task-specific versus general-purpose AI models in ECG analysis: A comparative study with emergency medicine specialists. The American Journal of Emergency Medicine 2025;95:220 View
  9. Bartusik-Aebisher D, Rogóż K, Aebisher D. Artificial Intelligence and ECG: A New Frontier in Cardiac Diagnostics and Prevention. Biomedicines 2025;13(7):1685 View
  10. Lee H, Yoo S, Kim J, Suh D, Cho Y, Lee K. Comparative Diagnostic Performance of a Multimodal Large Language Model (ChatGPT, Gemini) versus a Dedicated ECG AI (ECG Buddy) in Detecting Myocardial Infarction from ECG Images: Comparative Study (Preprint). JMIR AI 2025 View
  11. Shen J, Feng S, Zhang P, Qi C, Liu Z, Feng Y, Dong C, Xie Z, Gan W, Zhu L, Mou W, Zeng D, Tang B, Xiao M, Chu G, Cheng Q, Zhang J, Peng S, Bai Y, Wong H, Jiang A, Luo P, Lin A. Evaluating generative AI models for explainable pathological feature extraction in lung adenocarcinoma: grading assessment and prognostic model construction. International Journal of Surgery 2025;111(7):4252 View
  12. Li H, He Z, Chen X, Zhang C, Quan S, Killgore W, Wung S, Chen C, Yuan G, Lu J, Li A. Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection. Journal of Healthcare Informatics Research 2025 View
  13. Yang Y, Zhu F, Gao Y, Chen Z, Li X, Gao S, Wu J. A comprehensive review of artificial intelligence in Electrocardiogram diagnostics: Integrating knowledge map and meta-analysis approaches. Applied Soft Computing 2025;183:113655 View

Conference Proceedings

  1. Đurković J, Stojanović R, Škraba A, Vukmirović M, Babić B, Miranović V. 2025 14th Mediterranean Conference on Embedded Computing (MECO). Cardiac Rhythm Monitoring with ChatGPT Integration View