Artificial intelligence performance in answering multiple-choice oral pathology questions: a comparative analysis.

Journal: BMC oral health
PMID: 40234873

Abstract

BACKGROUND: Artificial intelligence (AI) has rapidly advanced in healthcare and dental education, significantly impacting diagnostic processes, treatment planning, and academic training. The aim of this study is to evaluate the performance differences between different large language models (LLMs) by analyzing their accuracy rates in answers to multiple choice oral pathology questions.

Authors

  • Birkan Eyup Yilmaz
    Faculty of Dentistry, Department of Oral and Maxillofacial Surgery, Giresun University, Giresun, Türkiye. ylmzbirkan@gmail.com.
  • Busra Nur Gokkurt Yilmaz
    Giresun Oral and Dental Health Centre, Department of Dentomaxillofacial Radiology, Giresun, Türkiye.
  • Furkan Ozbey
    Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Afyonkarahisar Health Sciences University, Afyonkarahisar, Türkiye.

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