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

Reviews in Medical Informatics (117) Decision Support for Health Professionals (1594) Artificial Intelligence (2252) Machine Learning (2173) Clinical Information and Decision Making (2007) Methods and Instruments in Medical Informatics (207) Intensive Care Unit (ICU) (162) Artificial Intelligence (AI) in Medical Education (209) Generative Language Models Including ChatGPT (760)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76326, first published .
Large Language Models in Critical Care Medicine: Scoping Review

Large Language Models in Critical Care Medicine: Scoping Review

Large Language Models in Critical Care Medicine: Scoping Review

Authors of this article:

Tongyue Shi1, 2, 3, 4 Author Orcid Image ;   Jun Ma5 Author Orcid Image ;   Zihan Yu6 Author Orcid Image ;   Haowei Xu1, 4 Author Orcid Image ;   Rongxin Yang1, 2, 3, 4 Author Orcid Image ;   Minqi Xiong7 Author Orcid Image ;   Meirong Xiao1, 2, 3, 4 Author Orcid Image ;   Yilin Li8 Author Orcid Image ;   Huiying Zhao9 Author Orcid Image ;   Guilan Kong1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Bignami E, Russo M. From promising prototypes to “instructions for use”: embedding LLMs safely in perioperative and intensive care. Journal of Clinical Monitoring and Computing 2026 View