Evaluating large language models using national endodontic specialty examination questions: are they ready for real-world dentistry?

LLMs show promising potential as educational tools in endodontics. However, their accuracy varies by question type and model. They can support student learning and clinical decision-making but cannot yet be considered a fully reliable standalone source in endodontics.

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Publication Details

Journal
BMC Medical Education
Published
2025-10-02
DOI
https://doi.org/10.1186/s12909-025-07896-z
Citations
6
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
3.93
Controls
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article

Evaluating large language models using national endodontic specialty examination questions: are they ready for real-world dentistry?

Oğuz Tavşan, Ezgi Can Çeki̇ç
6 citations
BMC Medical Education
Artificial Intelligence in Healthcare and Education
3.93
article

Evaluating large language models using national endodontic specialty examination questions: are they ready for real-world dentistry?

Oğuz Tavşan, Ezgi Can Çeki̇ç
article en
6 citations

Abstract

LLMs show promising potential as educational tools in endodontics. However, their accuracy varies by question type and model. They can support student learning and clinical decision-making but cannot yet be considered a fully reliable standalone source in endodontics.

BMC Medical EducationVol. 25(1)
Usak University (TR)
Openalex Percentile: Top 6%
Artificial Intelligence in Healthcare and Education
3.93
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Evaluating large language models using national endodontic specialty examination questions: are they ready for real-world dentistry? — Oğuz Tavşan, Ezgi Can Çeki̇ç · BMC Medical Education (2025) | TGRS Research Map | TGRS