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

AI Language Models in Health Care (90) Generative Language Models Including ChatGPT (438) Digital Health Reviews (1454) Clinical Informatics (1118) Clinical Information and Decision Making (1573) Artificial Intelligence (1628) Decision Support for Health Professionals (1305) Design of Processes and Workflows (128) Chatbots and Conversational Agents (599)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53787, first published .
The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review

The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review

The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review

Authors of this article:

Carl Preiksaitis1 Author Orcid Image ;   Nicholas Ashenburg1 Author Orcid Image ;   Gabrielle Bunney1 Author Orcid Image ;   Andrew Chu1 Author Orcid Image ;   Rana Kabeer1 Author Orcid Image ;   Fran Riley1 Author Orcid Image ;   Ryan Ribeira1 Author Orcid Image ;   Christian Rose1 Author Orcid Image
Article Authors Cited by (24) Tweetations (3) Metrics

Journals

  1. . Einsatz von Künstlicher Intelligenz in der Notaufnahme. Notaufnahme up2date 2024;06(03):215 View
  2. Yang Z, Wang D, Zhou F, Song D, Zhang Y, Jiang J, Kong K, Liu X, Qiao Y, Chang R, Han Y, Li F, Tham C, Zhang X. Understanding natural language: Potential application of large language models to ophthalmology. Asia-Pacific Journal of Ophthalmology 2024;13(4):100085 View
  3. Hwai H, Ho Y, Wang C, Huang C. Large language model application in emergency medicine and critical care. Journal of the Formosan Medical Association 2024 View
  4. Akyon S, Akyon F, Camyar A, Hızlı F, Sari T, Hızlı Ş. Evaluating the Capabilities of Generative AI Tools in Understanding Medical Papers: Qualitative Study. JMIR Medical Informatics 2024;12:e59258 View
  5. Brin D, Sorin V, Konen E, Nadkarni G, Glicksberg B, Klang E. How GPT models perform on the United States medical licensing examination: a systematic review. Discover Applied Sciences 2024;6(10) View
  6. Hirosawa T, Harada Y, Tokumasu K, Shiraishi T, Suzuki T, Shimizu T. Comparative Analysis of Diagnostic Performance: Differential Diagnosis Lists by LLaMA3 Versus LLaMA2 for Case Reports. JMIR Formative Research 2024;8:e64844 View
  7. Chen Z, Chambara N, Wu C, Lo X, Liu S, Gunda S, Han X, Qu J, Chen F, Ying M. Assessing the feasibility of ChatGPT-4o and Claude 3-Opus in thyroid nodule classification based on ultrasound images. Endocrine 2024;87(3):1041 View
  8. Aydin S, Karabacak M, Vlachos V, Margetis K. Large language models in patient education: a scoping review of applications in medicine. Frontiers in Medicine 2024;11 View
  9. Tripathi A, Ecker B, Boland P, Ghodoussipour S, Riedlinger G, De S. Oncointerpreter.ai enables interactive, personalized summarization of cancer diagnostics data. Journal of the American Medical Informatics Association 2025;32(1):129 View
  10. Rothchild E, Baker C, Smith I, Tanna N, Ricci J. Evaluating the Utility of ChatGPT in Diagnosing and Managing Maxillofacial Trauma. Journal of Craniofacial Surgery 2024 View
  11. Zarfati M, Nadkarni G, Glicksberg B, Harats M, Greenberger S, Klang E, Soffer S. Exploring the Role of Large Language Models in Melanoma: A Systematic Review. Journal of Clinical Medicine 2024;13(23):7480 View
  12. Selcuk Y, Kim E, Ahn I. InfectA-Chat, an Arabic Large Language Model for Infectious Diseases: Comparative Analysis. JMIR Medical Informatics 2025;13:e63881 View
  13. Hasan S, Fury M, Woo J, Kunze K, Ramkumar P. Ethical Application of Generative Artificial Intelligence in Medicine. Arthroscopy: The Journal of Arthroscopic & Related Surgery 2025;41(4):874 View
  14. Arslan B, Nuhoglu C, Satici M, Altinbilek E. Evaluating LLM-based generative AI tools in emergency triage: A comparative study of ChatGPT Plus, Copilot Pro, and triage nurses. The American Journal of Emergency Medicine 2025;89:174 View
  15. Zhang Y, Wan X, Kong Q, Liu H, Liu J, Guo J, Yang X, Zuo X, Li Y. Evaluating large language models as patient education tools for inflammatory bowel disease: A comparative study. World Journal of Gastroenterology 2025;31(6) View
  16. Griot M, Hemptinne C, Vanderdonckt J, Yuksel D. Large Language Models lack essential metacognition for reliable medical reasoning. Nature Communications 2025;16(1) View
  17. Gencer G, Gencer K. Large Language Models in Healthcare: A Bibliometric Analysis and Examination of Research Trends. Journal of Multidisciplinary Healthcare 2025;Volume 18:223 View
  18. Feigerlova E, Hani H, Hothersall-Davies E. A systematic review of the impact of artificial intelligence on educational outcomes in health professions education. BMC Medical Education 2025;25(1) View
  19. Hanna D, Creswell M, Terry R, Vergamini L, Sardiu M, Du H, McMahon A, Molina W, Whiles B. Bing chat for kidney stone management questions based on the AUA guidelines: a comparison of chatbot conversation style modes. World Journal of Urology 2025;43(1) View
  20. 塚田（哲翁） 弥. 救急総合診療領域における医療DXの最前線. Nihon Ika Daigaku Igakkai Zasshi 2025;21(1):3 View
  21. Chen J, Liu Y, Liu P, Zhao Y, Zuo Y, Duan H. Adoption of LLM AI tools in everyday tasks: A multi-site cross-sectional qualitative study of Chinese hospital administrators (Preprint). Journal of Medical Internet Research 2025 View
  22. Li C, Zhao Y, Bai Y, Zhao B, Oluwafunmilayo Y, Chan C, Zhang M, Fu X. Unveiling the potential of large language models in transforming chronic disease management: A mixed-method systematic review (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. ZareiNejad M, Tavana P. Application of Generative AI in Healthcare Systems. View