Do AI Chatbots Tell the Truth About Dentin Hypersensitivity? A Comparative Evaluation of Quality, Accuracy, and Readability
Year: 2026
Type: article
Abstract: Aim:Dentin hypersensitivity (DH) is a common dental complaint, and many patients now seek information from AI chatbots. Yet, the accuracy, reliability, and readability of chatbot-generated DH content remain uncertain.Materials and Methods:A consensus-based DH question set was presented to three AI chatbots (ChatGPT-4o, DeepSeek, Copilot) in independent, standardized sessions. Three blinded periodontologists evaluated the responses using CLEAR, mGQS, accuracy scores, DISCERN, and readability metrics (FRE, FKGL). Non-parametric tests compared inter-model differences.Results:Significant differences were found in FKGL (p=0.025), DISCERN (p=0.004), and response length (p
Source: Cumhuriyet Dental Journal
Institution: Sağlık Bilimleri Üniversitesi
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7141565145