Evaluation of the performance of artificial intelligence-based large language models in diagnosing temporomandibular joint disorders
2025
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Danışman: Doç. Dr. Rana Turunç
Özet (EN)
The aim of this study is to evaluate the time- and language-dependent performances of eight large language models (ChatGPT-3.5, ChatGPT-4, ChatGPT-4o, Microsoft Copilot, Anthropic Claude 2, Docus AI, Perplexity AI, and Google Gemini) in the diagnosis of temporomandibular disorders (TMD).
Yazar
Dr. Erman Direkci
Kurum
Bu Yayına Nasıl Atıf Yapılır
Erman Direkci (Doctorate thesis). Evaluation of the performance of artificial intelligence-based large language models in diagnosing temporomandibular joint disorders, 2025, Altınbaş University.
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
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