Benchmarking Clinical Safety and Diagnostic Accuracy of Large Language Models in Otorhinolaryngology Emergencies: A Cross-Lingual Comparison of ChatGPT 5.2 and Gemini 3 Pro.
- DOI
- 10.1177/01455613261506845
- Published
- 2026 Nov 10
- Container
- Ear, nose, & throat journal
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/01455613261506845,
title = {Benchmarking Clinical Safety and Diagnostic Accuracy of Large Language Models in Otorhinolaryngology Emergencies: A Cross-Lingual Comparison of ChatGPT 5.2 and Gemini 3 Pro.},
author = {Gokgun OF and Ucurum Kantarci BE},
year = {2026},
journal = {Ear, nose, \& throat journal},
doi = {10.1177/01455613261506845},
url = {https://doi.org/10.1177/01455613261506845}
}RIS
TY - JOUR TI - Benchmarking Clinical Safety and Diagnostic Accuracy of Large Language Models in Otorhinolaryngology Emergencies: A Cross-Lingual Comparison of ChatGPT 5.2 and Gemini 3 Pro. AU - Gokgun OF AU - Ucurum Kantarci BE PY - 2026 JO - Ear, nose, & throat journal DO - 10.1177/01455613261506845 UR - https://doi.org/10.1177/01455613261506845 ER -
APA
OF, G., & BE, U. K. (2026). Benchmarking Clinical Safety and Diagnostic Accuracy of Large Language Models in Otorhinolaryngology Emergencies: A Cross-Lingual Comparison of ChatGPT 5.2 and Gemini 3 Pro.. Ear, nose, & throat journal. https://doi.org/10.1177/01455613261506845
Source records
- pubmed · retrieved 2026-11-11T00:23:22.618Z