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November 18, 2025Journal of Craniofacial Surgery

Exploring the Role of Generative AI in Dental Education and Clinical Decision-Making: Endo-Periodontal Lesions as a Model

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Authors

KBKubilay BarişSBSevda Durust BarisKBKubilay Bariş

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Overview

This evaluation demonstrates language models improve accuracy in clinical decisions, suggesting their potential in dental education.

Key Points

  • The research aims to assess the accuracy of AI language models in responding to dental-related questions.
  • Created 40 dichotomous questions on endo-periodontal topics.
  • Question responses were evaluated by three independent individuals across three AI models.
  • Results analyzed with Pearson’s chi-square test.
  • 86.7% of AI responses were correct, while 8.2% were incorrect.
  • Accuracy rates for ChatGPT-4o, Scholar GPT, and Scholar AI were 89.8%, 90.8%, and 78.1%, respectively.
  • Statistically significant differences in accuracy between AI models were found.

Cite This Study

Bariş et al. (2025) studied this question.

synapsesocial.com/papers/6924feebc0ce034ddc351ae4https://doi.org/10.1097/scs.0000000000012168
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Assessing the Accuracy and Completeness of AI-Generated Dental Responses: An Evaluation of the Chat-GPT Model2025 · 9 citations
  2. 2Assessing the Accuracy, Completeness, and Reliability of Artificial Intelligence-Generated Responses in Dentistry: A Pilot Study Evaluating the ChatGPT Model2024 · 22 citations
  3. 3Evaluation of the performance of ChatGPT-4o on oral surgery-related questions in the Japanese National Dental Examination2026
  4. 4Assessing the accuracy and usability of artificial intelligence–based language models in responding to common periodontal patient questions2026
  5. 5Performance of three artificial intelligence (AI)‐based large language models in standardized testing; implications for AI‐assisted dental education2024 · 65 citations