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

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. Beyond Assistance: Are Large Language Models Ready for Autonomous Electrocardiogram Interpretation?. Canadian Journal of Cardiology 2025 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