Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55933, first published .
Impact of Large Language Models on Medical Education and Teaching Adaptations

Impact of Large Language Models on Medical Education and Teaching Adaptations

Impact of Large Language Models on Medical Education and Teaching Adaptations

Journals

  1. Li J, Chang C, Li Y, Cui S, Yuan F, Li Z, Wang X, Li K, Feng Y, Wang Z, Wei Z, Jian F. Large Language Models’ Responses to Spinal Cord Injury: A Comparative Study of Performance. Journal of Medical Systems 2025;49(1) View
  2. Chen G, Sha Y, Wang Z, Wang K, Chen L. The Role of Large Language Models (LLMs) in Hepato-Pancreato-Biliary Surgery: Opportunities and Challenges. Cureus 2025 View
  3. Çamlar M, Sevgi U, Erol G, Karakaş F, Doğruel Y, Güngör A. Comparative performance of neurosurgery-specific, peer-reviewed versus general AI chatbots in bilingual board examinations: evaluating accuracy, consistency, and error minimization strategies. Acta Neurochirurgica 2025;167(1) View
  4. Kilinc M, Gurcan F, Soylu A. LLM-Based Generative AI in Medicine: Analysis of Current Research Trends With BERTopic. IEEE Access 2025;13:157026 View
  5. Wójcik D, Adamiak O, Czerepak G, Tokarczuk O, Szalewski L. A bi-linguistic comparative analysis of ChatGPT-4, Gemini, and Claude performance on Polish medical–dental final examinations. Scientific Reports 2025;15(1) View
  6. Hosseini S. AI misuse and passiveness of students in medical education. Advances in Physiology Education 2025;49(4):1009 View
  7. Kolil V, Prasanna P, Achuthan K. The role of integrating augmented reality and cognitive constructivism in enhancing sustainable education. Education and Information Technologies 2025 View
  8. Lu Q. Development of generative artificial intelligence in medical education: a bibliometric profiling. Frontiers in Education 2025;10 View
  9. Li X, Yan X, Lai H, Metwally A. The ethical challenges in the integration of artificial intelligence and large language models in medical education: A scoping review. PLOS One 2025;20(10):e0333411 View