Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46482, first published .
Artificial Intelligence in Medical Education: Comparative Analysis of ChatGPT, Bing, and Medical Students in Germany

Artificial Intelligence in Medical Education: Comparative Analysis of ChatGPT, Bing, and Medical Students in Germany

Artificial Intelligence in Medical Education: Comparative Analysis of ChatGPT, Bing, and Medical Students in Germany

Journals

  1. Tangadulrat P, Sono S, Tangtrakulwanich B. Using ChatGPT for Clinical Practice and Medical Education: Cross-Sectional Survey of Medical Students’ and Physicians’ Perceptions. JMIR Medical Education 2023;9:e50658 View
  2. Knopp M, Warm E, Weber D, Kelleher M, Kinnear B, Schumacher D, Santen S, Mendonça E, Turner L. AI-Enabled Medical Education: Threads of Change, Promising Futures, and Risky Realities Across Four Potential Future Worlds. JMIR Medical Education 2023;9:e50373 View
  3. Zhang Z, Zhang J, Duan L, Tan C. ChatGPT in dermatology: exploring the limited utility amidst the tech hype. Frontiers in Medicine 2024;10 View
  4. Abdaljaleel M, Barakat M, Alsanafi M, Salim N, Abazid H, Malaeb D, Mohammed A, Hassan B, Wayyes A, Farhan S, Khatib S, Rahal M, Sahban A, Abdelaziz D, Mansour N, AlZayer R, Khalil R, Fekih-Romdhane F, Hallit R, Hallit S, Sallam M. A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT. Scientific Reports 2024;14(1) View
  5. Gordon M, Daniel M, Ajiboye A, Uraiby H, Xu N, Bartlett R, Hanson J, Haas M, Spadafore M, Grafton-Clarke C, Gasiea R, Michie C, Corral J, Kwan B, Dolmans D, Thammasitboon S. A scoping review of artificial intelligence in medical education: BEME Guide No. 84. Medical Teacher 2024;46(4):446 View
  6. Rojas M, Rojas M, Burgess V, Toro-Pérez J, Salehi S. Exploring the Performance of ChatGPT Versions 3.5, 4, and 4 With Vision in the Chilean Medical Licensing Examination: Observational Study. JMIR Medical Education 2024;10:e55048 View
  7. Warrier A, Singh R, Haleem A, Zaki H, Eloy J. The Comparative Diagnostic Capability of Large Language Models in Otolaryngology. The Laryngoscope 2024 View
  8. Andreychenko A, Gusev A. Perspectives on the application of large language models in healthcare. National Health Care (Russia) 2024;4(4):48 View
  9. Moulaei K, Yadegari A, Baharestani M, Farzanbakhsh S, Sabet B, Reza Afrash M. Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications. International Journal of Medical Informatics 2024;188:105474 View
  10. Bharatha A, Ojeh N, Fazle Rabbi A, Campbell M, Krishnamurthy K, Layne-Yarde R, Kumar A, Springer D, Connell K, Majumder M. Comparing the Performance of ChatGPT-4 and Medical Students on MCQs at Varied Levels of Bloom’s Taxonomy. Advances in Medical Education and Practice 2024;Volume 15:393 View
  11. Griewing S, Knitza J, Boekhoff J, Hillen C, Lechner F, Wagner U, Wallwiener M, Kuhn S. Evolution of publicly available large language models for complex decision-making in breast cancer care. Archives of Gynecology and Obstetrics 2024;310(1):537 View
  12. Zengin A, Ulfanov O, Bag Y, Ulas M. Artificial Intelligence Versus Medical Students in General Surgery Exam. Indian Journal of Surgery 2024 View
  13. Liu M, Okuhara T, Chang X, Shirabe R, Nishiie Y, Okada H, Kiuchi T. Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: A Systematic Review and Meta-Analysis (Preprint). Journal of Medical Internet Research 2024 View