Evaluating the quality of artificial intelligence responses to psoriasis-related clinical and patient questions: a comparative study of ChatGPT, Gemini, and Microsoft Copilot
- DOI
- 10.1080/08998280.2026.2683945
- Published
- 2026-06-10
- Container
- Baylor University Medical Center Proceedings
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/08998280.2026.2683945,
title = {Evaluating the quality of artificial intelligence responses to psoriasis-related clinical and patient questions: a comparative study of ChatGPT, Gemini, and Microsoft Copilot},
author = {Gozde Ulutaş Demirbas and Esin Diremsizoglu and Abdullah Demirbas},
year = {2026},
journal = {Baylor University Medical Center Proceedings},
doi = {10.1080/08998280.2026.2683945},
url = {https://doi.org/10.1080/08998280.2026.2683945}
}RIS
TY - JOUR TI - Evaluating the quality of artificial intelligence responses to psoriasis-related clinical and patient questions: a comparative study of ChatGPT, Gemini, and Microsoft Copilot AU - Gozde Ulutaş Demirbas AU - Esin Diremsizoglu AU - Abdullah Demirbas PY - 2026 JO - Baylor University Medical Center Proceedings DO - 10.1080/08998280.2026.2683945 UR - https://doi.org/10.1080/08998280.2026.2683945 ER -
APA
Demirbas, G. U., Diremsizoglu, E., & Demirbas, A. (2026). Evaluating the quality of artificial intelligence responses to psoriasis-related clinical and patient questions: a comparative study of ChatGPT, Gemini, and Microsoft Copilot. Baylor University Medical Center Proceedings. https://doi.org/10.1080/08998280.2026.2683945
Source records
- crossref · retrieved 2026-09-26T12:31:24.155Z