Artificial Intelligence in Gastroenterology Education: DeepSeek Passes the Gastroenterology Board Examination and Outperforms Legacy ChatGPT Models.

Journal: The American journal of gastroenterology
Published Date: May 20, 2025

Abstract

INTRODUCTION: DeepSeek was evaluated in gastroenterology board examination performance against legacy ChatGPT offline models, which previously showed failing performance.

Authors

  • Andrew F Ibrahim
    Texas Tech University Health Sciences Center School of Medicine, Lubbock, TX, United States.
  • Pojsakorn Danpanichkul
    Immunology Unit, Department of Microbiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
  • Alexander Hayek
    School of Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA.
  • Edwin Paul
    School of Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA.
  • Annmarie Farag
    School of Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA.
  • Masab Mansoor
    Edward Via College of Osteopathic Medicine, 4408 Bon Aire Dr, Monroe, LA, 71203, United States, 1 5045213500.
  • Charat Thongprayoon
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
  • Wisit Cheungpasitporn
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
  • Mohamed O Othman
    Gastroenterology and Hepatology Section, Baylor College of Medicine, Houston, Texas, USA.

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