Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66552, first published .
Comparative Performance of Medical Students, ChatGPT-3.5 and ChatGPT-4.0 in Answering Questions From a Brazilian National Medical Exam: Cross-Sectional Questionnaire Study

Comparative Performance of Medical Students, ChatGPT-3.5 and ChatGPT-4.0 in Answering Questions From a Brazilian National Medical Exam: Cross-Sectional Questionnaire Study

Comparative Performance of Medical Students, ChatGPT-3.5 and ChatGPT-4.0 in Answering Questions From a Brazilian National Medical Exam: Cross-Sectional Questionnaire Study

Journals

  1. Cofini V, Piccardi L, Benvenuti E, Di Pangrazio G, Cimino E, Mancinelli M, Muselli M, Petrucci E, Picchi G, Palermo P, Tobia L, Barbonetti A, Desideri G, Guido M, Marinangeli F, Fabiani L, Necozione S. The I-KAPCAM-AI-Q: a novel instrument for evaluating health care providers’ AI awareness in Italy. Frontiers in Public Health 2025;13 View
  2. Dirks-Naylor A. Developing student proficiency in ChatGPT-driven active recall practices and self-guided inquiry. Advances in Physiology Education 2025;49(4):960 View
  3. Latkowska A, Sawina P, Dolata T, Boczkowski D, Wielochowska A, Kowalczyk A, Loson-Kawalec M, Radej D, Jaworski W, Majchrowicz W, Olender M, Adamiak J, Sroczynska J, Suleiman R, Glinska J, Szczerbanowicz P, Dadynska P. Assessment of the Ability of the ChatGPT-5 Model to Pass the Endocrinology Specialization Exam. Cureus 2025 View