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Evaluating large language models for endodontic case difficulty assessment: accuracy, consistency, temporal

Ekin Deniz Çatmabacak1, İrem Çetinkaya Valandova2

  • 1Faculty of Dentistry, Department of Endodontics, Trakya University, Edirne, Türkiye. edenizcatmabacak@trakya.edu.tr.

BMC Oral Health
|April 11, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Artificial intelligenceCase difficulty assessmentClinical uncertaintyEndodonticsLarge language models

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