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 Med Inform
- Publisher
- Not recorded
- Open access
- yes
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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 = {Lansiaux E and Azzouz R and Chazard E and Vromant A and Wiel E.},
year = {2026},
journal = {JMIR Med Inform},
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 - Lansiaux E AU - Azzouz R AU - Chazard E AU - Vromant A AU - Wiel E. PY - 2026 JO - JMIR Med Inform DO - 10.2196/83318 UR - https://doi.org/10.2196/83318 ER -
APA
E, L., R, A., E, C., A, V., & E., W. (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 Med Inform. https://doi.org/10.2196/83318
Source records
- europe-pmc · retrieved 2026-09-25T03:11:42.818Z