Accuracy of latest large language models in answering multiple choice questions in dentistry: A comparative study.

Journal: PloS one
PMID: 39879192

Abstract

OBJECTIVES: This study aims to evaluate the performance of the latest large language models (LLMs) in answering dental multiple choice questions (MCQs), including both text-based and image-based questions.

Authors

  • Huy Cong Nguyen
    Faculty of Dentistry, PHENIKAA University, Hanoi, Vietnam.
  • Hai Phong Dang
    Faculty of Dentistry, PHENIKAA University, Hanoi, Vietnam.
  • Thuy Linh Nguyen
    Faculty of Dentistry, PHENIKAA University, Hanoi, Vietnam.
  • Viet Hoang
    Faculty of Dentistry, Van Lang University, Ho Chi Minh City, Vietnam.
  • Viet Anh Nguyen
    Faculty of Dentistry, PHENIKAA University, Hanoi, Vietnam.

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