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TRV-2026-1131Certified recordPeer-reviewed

Assessing 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…

Health · The Trace — both readings · certified 2026-09-18 · v1 · article view · machine-readable

Current reading — gain

Advanced LLMs like ChatGPT-4.5 can provide accurate, comprehensive periodontal information to patients seeking quick answers to common gum disease questions.

Current reading — problem

LLMs answering periodontal questions perform significantly worse in Persian than English and often produce explanations too technical for average patients, lacking clinical nuance for personalized risk assessment.

What this doesn’t fix

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

Reader signal

How should this claim be treated?

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Truvace Impact Record TRV-2026-1131, v1: “Assessing the accuracy and usability of artificial intelligence-based language models in responding to common periodontal patient questions.” Truvace, 2026-09-18. /record/TRV-2026-1131 (accessed at citation time). sha256 6661969c0897f800…

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