This paper is in the following e-collection/theme issue:

Digital Health Reviews (1759) Artificial Intelligence (2202) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (92) Machine Learning (2134) AI Language Models in Health Care (215) Generative Language Models Including ChatGPT (745) Clinical Information and Decision Making (1960)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71916, first published .
Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline

Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline

Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline

Authors of this article:

HongYi Li1, 2 Author Orcid Image ;   Jun-Fen Fu3, 4, 5 Author Orcid Image ;   Andre Python1, 6, 7 Author Orcid Image
Article Authors Cited by (9) Tweetations (1) Metrics

Journals

  1. Komasawa N. Generative AI in perioperative medicine and anesthesiology: ethical integration, educational innovation, and the future of clinical professionalism. Journal of Anesthesia 2025 View
  2. Liu J, Liu F, Wang C, Liu S. Prompt Engineering in Clinical Practice: Tutorial for Clinicians. Journal of Medical Internet Research 2025;27:e72644 View
  3. Python A, Li H, Fu J. Author's Reply: Critical Limitations in Systematic Reviews of Large Language Models in Health Care. Journal of Medical Internet Research 2025;27:e82729 View
  4. Weizman Z. Critical Limitations in Systematic Reviews of Large Language Models in Health Care. Journal of Medical Internet Research 2025;27:e81769 View
  5. Zhang Z, Zhang H, Pan Z, Bi Z, Wan Y, Song X, Fan X. Evaluating Large Language Models in Ophthalmology: Systematic Review. Journal of Medical Internet Research 2025;27:e76947 View
  6. Umar M, Shamim L, Musharaf I, Tabasum P, Malhotra V, Farhan K, Hidayat A, Waqas M, Anwar A, Qadri M, Reza S. The integration of generative artificial intelligence and machine learning in healthcare: Current applications and future directions. Journal of Intelligent Medicine 2025;2(4):179 View
  7. Chen B, Wang Y, Xie X, Fan B, Zhang W, Sun G. Trends in AI-based diagnosis and intervention of metabolic diseases: a bibliometric analysis of the literature from 2000 to 2024. Frontiers in Medicine 2025;12 View
  8. Фролов Е, Ермолаева Д, Мокшин К, Шемонаев Д, Фролов М, Жабицкий М. Модульная переработка нормативных текстов как метод повышения релевантности ответов большой языковой модели: пилотное исследование на примере клинических рекомендаций по артериальной гипертензии. International Journal of Open Information Technologies 2025;13(8):94 View
  9. Li P, Xu Y, Liu X, Shen Z, Wang Y, Lv X, Lu Z, Wu H, Zhuang J, Chen Y. Large Language Models in Patient Health Communication for Atherosclerotic Cardiovascular Disease: Pilot Cross-Sectional Comparative Analysis. JMIR Medical Informatics 2026;14:e81422 View