Comparing the performance of artificial intelligence learning models to medical students in solving histology and embryology multiple choice questions.

Journal: Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
PMID: 38521363

Abstract

INTRODUCTION: The appearance of artificial intelligence language models (AI LMs) in the form of chatbots has gained a lot of popularity worldwide, potentially interfering with different aspects of education, including medical education as well. The present study aims to assess the accuracy and consistency of different AI LMs regarding the histology and embryology knowledge obtained during the 1st year of medical studies.

Authors

  • Miloš Bajčetić
    Institute of Histology and Embryology "Aleksandar Đ. Kostić", Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
  • Aleksandar Mirčić
    Institute of Histology and Embryology "Aleksandar Đ. Kostić", Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
  • Jelena Rakočević
    Institute of Histology and Embryology "Aleksandar Đ. Kostić", Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
  • Danilo Đoković
    Institute of Histology and Embryology "Aleksandar Đ. Kostić", Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
  • Katarina Milutinović
    Institute of Histology and Embryology "Aleksandar Đ. Kostić", Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
  • Ivan Zaletel
    Institute of Histology and Embryology "Aleksandar Đ. Kostić", Faculty of Medicine, University of Belgrade, Belgrade, Serbia. Electronic address: ivan.zaletel@med.bg.ac.rs.

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