Published on in Vol 26 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/54607, first published
.
Journals
- 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
- 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
- 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
- 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
- Nguyen H. Beyond Assistance: Are Large Language Models Ready for Autonomous Electrocardiogram Interpretation?. Canadian Journal of Cardiology 2025 View
- 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