Do AI Chatbots Tell the Truth About Dentin Hypersensitivity? A Comparative Evaluation of Quality, Accuracy, and Readability

Cumhuriyet Dental Journal 2026 Open access

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Authors: Seval Ceylan Şen, Özlem Saraç Atagün, Gülbahar Ustaoğlu, Zeynep Hazan Yıldız, Rumeysa Nur Kayacı
DOI: 10.7126/cumudj.1848545
Cited by: 1
References: 32

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

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education AI in Service Interactions Digital Mental Health Interventions

Publication details

Journal / source
Cumhuriyet Dental Journal
Publisher
Cumhuriyet University
Volume
29
Issue
1
Pages
138–147
Publication date
27 March 2026
Language
EN