Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 29, 2026Cumhuriyet Dental JournalOpen Access

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

View Full Paper
Ask AI
Bookmark
Share

Authors

SŞSeval Ceylan ŞenÖAÖzlem Saraç AtagünGUGülbahar Ustaoğlu

Discussion

Loading...

Member takes

Overview

Comparative evaluation of AI chatbot information accuracy and readability on dentin hypersensitivity, implying variable quality of responses.

Key Points

  • This research aims to evaluate the accuracy, reliability, and readability of dentin hypersensitivity information provided by AI chatbots.
  • Presented a consensus-based question set on dentin hypersensitivity to three AI chatbots in standardized sessions.
  • Evaluated chatbot responses using metrics like CLEAR, mGQS, accuracy scores, DISCERN, and readability (FRE, FKGL).
  • Used non-parametric tests to compare differences between chatbot responses.
  • Significant differences noted in FKGL readability scores (p=0.025).
  • DISCERN quality scores also showed significant differences (p=0.004).
  • Response length varied significantly among AI chatbots.

Cite This Study

Şen et al. (2026) studied this question.

synapsesocial.com/papers/69c8c371de0f0f753b39e3cchttps://doi.org/10.7126/cumudj.1848545
View Full Paper
Ask AI
Bookmark
Share