Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57594, first published .
Correction: How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

Correction: How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

Correction: How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

Journals

  1. Kerci S, Sahan B. An Analysis of ChatGPT4 to Respond to Glaucoma-Related Questions. Journal of Glaucoma 2024;33(7):486 View
  2. Rodrigues Alessi M, Gomes H, Lopes de Castro M, Terumy Okamoto C. Performance of ChatGPT in Solving Questions From the Progress Test (Brazilian National Medical Exam): A Potential Artificial Intelligence Tool in Medical Practice. Cureus 2024 View
  3. Gencer G, Gencer K. A Comparative Analysis of ChatGPT and Medical Faculty Graduates in Medical Specialization Exams: Uncovering the Potential of Artificial Intelligence in Medical Education. Cureus 2024 View
  4. Ajit-Roger E, Semsar Kazerooni K, Savage J, Nguyen L. Assessment of Artificial Intelligence Chatbot Performance on the Canadian Otolaryngology and Head and Neck Surgery In-Training Exam: Insights from an Experimental Comparative Analysis (Preprint). JMIR Medical Education 2024 View
  5. Günay-polatkan Ş, Sığırlı D. A Comparative Analysis of GPT-3.5, GPT-4 and GPT-4.o in Heart Failure. Uludağ Üniversitesi Tıp Fakültesi Dergisi 2025;50(3):443 View
  6. Abdelhafiz A, Farghly M, Sultan E, Abouelmagd M, Ashmawy Y, Elsebaie E. Medical students and ChatGPT: analyzing attitudes, practices, and academic perceptions. BMC Medical Education 2025;25(1) View
  7. Bolgova O, Shypilova I, Mavrych V. Large Language Models in Biochemistry Education: Comparative Evaluation of Performance. JMIR Medical Education 2025;11:e67244 View
  8. Goglia M, Cicolani A, Carrano F, Petrucciani N, D’Angelo F, Pace M, Chiarini L, Silecchia G, Aurello P. Using Large Language Models in the Diagnosis of Acute Cholecystitis: Assessing Accuracy and Guidelines Compliance. The American Surgeon™ 2025;91(6):967 View
  9. Chokkakula S, Chong S, Yang B, Jiang H, Yu J, Han R, Attitalla I, Yin C, Zhang S. Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes. Frontiers in Medicine 2025;12 View
  10. Chuang W, Kao Y, Liu Y, Lee C. Assessing ChatGPT for Clinical Decision-Making in Radiation Oncology, With Open-Ended Questions and Images. Practical Radiation Oncology 2025 View
  11. Bucak Ö, Cinar C. Artificial Intelligence as a Partner in Ankylosing Spondylitis Care: Evaluating ChatGPT’s Role and Performance. Medical Records 2025;7(2):339 View

Books/Policy Documents

  1. Freeburg T, Chang T. Digital Health, AI and Generative AI in Healthcare. View

Conference Proceedings

  1. Hammond E, Faber C. 2024 IEEE Frontiers in Education Conference (FIE). Work in Progress: Integration of AI Tools on an Open-Ended Computer Programming Project View