Do AI Chatbots Tell the Truth About Dentin Hypersensitivity? A Comparative Evaluation of Quality, Accuracy, and Readability
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
Authors
- Seval Ceylan Şen (ORCID: https://orcid.org/0000-0002-3286-7819)
- Özlem Saraç Atagün (ORCID: https://orcid.org/0000-0002-2964-8244)
- Rumeysa Nur Kayacı
- Zeynep Hazan Yildiz
- Gülbahar Ustaoğlu
Institutions
- Sağlık Bilimleri Üniversitesi (TR)
- University of Health Sciences (SO)
Publication Details
- Journal
- Cumhuriyet Dental Journal
- Published
- 2026-03-27
- DOI
- https://doi.org/10.7126/cumudj.1848545
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00