aceAssessing the accuracy and usability of artificial intelligence-based language models in responding to common periodontal patient questions
Background Artificial intelligence-powered large language models (LLMs) are increasingly used by patients seeking quick information regarding dental and medical problems. Despite their growing popularity, concerns remain regarding the accuracy, clarity, and clinical usefulness of LLM-generated responses. This study aimed to comparatively evaluate the accuracy and usability of widely used LLMs in responding to frequently asked periodontal questions. Methods In this analytical-comparative study, 15 commonly asked…
In a test of ten AI chatbots on 15 common gum disease questions, two periodontists rating blind scored deep-search ChatGPT-4.5 highest for accuracy and referencing.
Across ten AI chatbots, answers to common gum disease questions were significantly worse in Persian than English, and were often too technical for patients with limited scientific literacy.
Study limited to 15 selected periodontal questions and 10 LLMs, with evaluation by two periodontists, and found language and literacy gaps requiring further optimization.
Evidence
- Peer-reviewedClinical Advances in Periodontics2026-09-16
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Truvace Impact Record TRV-2026-1131, v2: “Assessing the accuracy and usability of artificial intelligence-based language models in responding to common periodontal patient questions.” Truvace, 2026-11-04. /record/TRV-2026-1131 (accessed at citation time). sha256 b9184ac5bcd252b8…
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