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

Artificial Intelligence (1838) Generative Language Models Including ChatGPT (561) Foundation Models and Their Applications in AI (42) Clinical Information and Decision Making (1723) Decision Support for Health Professionals (1392)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71613, first published .
Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

Authors of this article:

Chenxu Wang1, 2 Author Orcid Image ;   Fei Wang3 Author Orcid Image ;   Shuhan Li2 Author Orcid Image ;   Qing-wen Ren4 Author Orcid Image ;   Xiaomei Tan2 Author Orcid Image ;   Yaoyu Fu1 Author Orcid Image ;   Di Liu1, 2, 5 Author Orcid Image ;   Guangwu Qian1, 6 Author Orcid Image ;   Yu Cao7 Author Orcid Image ;   Rong Yin1, 2, 5 Author Orcid Image ;   Kang Li1, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Pan Y, Tian S, Guo J, Cai H, Wan J, Fang C. Clinical feasibility of AI Doctors: Evaluating the replacement potential of large language models in outpatient settings for central nervous system tumors. International Journal of Medical Informatics 2025;203:106013 View