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Saudi Journal of Oral and Dental Research (SJODR)
Volume-11 | Issue-05 | 148-151
Original Research Article
Efficacy/Accuracy of AI Chatbots to Common Patient Queries for Temporomandibular Joint Disorders: Understandability, Readability, Credibility, Contextual Relevance
Faisal Taiyebali Zardi, Brajesh Gupta, Prabhat Tiwari, Sankojii Supriya, Khetavath Prameela
Published : May 4, 2026
DOI : https://doi.org/10.36348/sjodr.2026.v11i05.001
Abstract
Temporomandibular Disorders (TMDs) are a group of conditions affecting the temporomandibular joint and related structures, frequently encountered in dental and medical practice. With the increasing use of large language models (LLMs) for health-related queries, this study aimed to evaluate the quality of responses provided by four leading AI platforms Google Gemini, Microsoft Copilot, ChatGPT, and Meta AI to the most commonly asked questions about TMDs. A set of 45 standardized questions covering definitions, symptoms, causes, diagnosis, and management of TMDs was used. Responses from each platform were assessed on a Likert scale (1–20) across four key domains: Understandability, Readability, Credibility, and Contextual Relevance. While all four AI models demonstrated potential as educational tools for patients seeking information about TMDs, their quality and consistency varied. Based on this Likert-scale assessment, the overall ranking was: Google Gemini (1st) > Microsoft Copilot (2nd) > ChatGPT (3rd) > Meta AI (4th).
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