Evaluates AI chatbot responses for temporomandibular disorders, indicating variability in accuracy and reliability.
OBJECTIVE: This study aims to evaluate the accuracy and quality of responses generated by large language model-based chatbots to frequently asked questions related to temporomandibular disorders (TMD). METHODS: Ten questions were selected based on the most common inquiries made by patients with TMD to artificial intelligence (AI) chatbots. The responses of four widely used AI chatbots (ChatGPT Pro, ChatGPT 3.5, Deepseek, Grok3.0) were collected. Three expert evaluators assessed each chatbot's response using a modified Global Quality Scale (GQS). RESULTS: = 0.037*). CONCLUSION: While some AI chatbots show potential in answering TMD-related patient questions, variability in accuracy and reliability currently limits their use in clinical settings. Further training and validation are needed before integration into patient education or clinical decision-support systems.
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Akkor et al. (2026) studied this question.
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