Evaluation of the performance of artificial intelligence-based large language models in diagnosing temporomandibular joint disorders
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Abstract (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).
Author
Erman Direkci
Institution
How to Cite
Erman Direkci (Doctorate thesis). Evaluation of the performance of artificial intelligence-based large language models in diagnosing temporomandibular joint disorders, 2025, Altınbaş University.
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