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

AI Language Models in Health Care (234) Generative Language Models Including ChatGPT (782) Natural Language Processing (945) Clinical Information and Decision Making (2041) Decision Support for Health Professionals (1615) Artificial Intelligence (2308)

Published on in Vol 14 (2026)

This is a member publication of Lifespan

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83318, first published .
Artificial Intelligence Models for Predicting Triage in Emergency Departments: Seven-Month Retrospective Comparative Study of Natural Language Processing, Large Language Model, and Joint Embedding Predictive Architectures

Artificial Intelligence Models for Predicting Triage in Emergency Departments: Seven-Month Retrospective Comparative Study of Natural Language Processing, Large Language Model, and Joint Embedding Predictive Architectures

Artificial Intelligence Models for Predicting Triage in Emergency Departments: Seven-Month Retrospective Comparative Study of Natural Language Processing, Large Language Model, and Joint Embedding Predictive Architectures

Authors of this article:

Edouard Lansiaux1 Author Orcid Image ;   Ramy Azzouz2, 3 Author Orcid Image ;   Emmanuel Chazard3, 4 Author Orcid Image ;   Amélie Vromant5 Author Orcid Image ;   Eric Wiel1, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

There are no citations yet available for this article according to Crossref .