Factors Associated With the Accuracy of Large Language Models in Basic Medical Science Examinations: Cross-Sectional Study.

Journal: JMIR medical education
PMID: 39846415

Abstract

BACKGROUND: Artificial intelligence (AI) has become widely applied across many fields, including medical education. Content validation and its answers are based on training datasets and the optimization of each model. The accuracy of large language model (LLMs) in basic medical examinations and factors related to their accuracy have also been explored.

Authors

  • Naritsaret Kaewboonlert
    Institute of Medicine, Suranaree University of Technology, 111 University Avenue, Nakhon Ratchasima, 30000, Thailand, 66 44223956.
  • Jiraphon Poontananggul
    Institute of Medicine, Suranaree University of Technology, 111 University Avenue, Nakhon Ratchasima, 30000, Thailand, 66 44223956.
  • Natthipong Pongsuwan
    Institute of Medicine, Suranaree University of Technology, 111 University Avenue, Nakhon Ratchasima, 30000, Thailand, 66 44223956.
  • Gun Bhakdisongkhram
    Institute of Medicine, Suranaree University of Technology, 111 University Avenue, Nakhon Ratchasima, 30000, Thailand, 66 44223956.

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