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
- DOI
- 10.2196/83318
- Published
- 2026-03-10
- Container
- JMIR Medical Informatics
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/83318,
title = {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},
author = {Edouard Lansiaux and Ramy Azzouz and Emmanuel Chazard and Amélie Vromant and Eric Wiel},
year = {2026},
journal = {JMIR Medical Informatics},
doi = {10.2196/83318},
url = {https://doi.org/10.2196/83318}
}RIS
TY - JOUR TI - 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 AU - Edouard Lansiaux AU - Ramy Azzouz AU - Emmanuel Chazard AU - Amélie Vromant AU - Eric Wiel PY - 2026 JO - JMIR Medical Informatics DO - 10.2196/83318 UR - https://doi.org/10.2196/83318 ER -
APA
Lansiaux, E., Azzouz, R., Chazard, E., Vromant, A., & Wiel, E. (2026). 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. JMIR Medical Informatics. https://doi.org/10.2196/83318
Source records
- crossref · retrieved 2026-11-05T11:34:50.154Z