Performance of ChatGPT on Chinese Master's Degree Entrance Examination in Clinical Medicine.

Journal: PloS one
Published Date: Apr 4, 2024

Abstract

BACKGROUND: ChatGPT is a large language model designed to generate responses based on a contextual understanding of user queries and requests. This study utilised the entrance examination for the Master of Clinical Medicine in Traditional Chinese Medicine to assesses the reliability and practicality of ChatGPT within the domain of medical education.

Authors

  • Ke-Cheng Li
    Department of Andrology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
  • Zhi-Jun Bu
    Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
  • Md Shahjalal
    Department of Electronics Engineering, Kookmin University, Seoul 02707, Korea.
  • Bai-Xiang He
    Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
  • Zi-Fan Zhuang
    Department of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Chen Li
    School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
  • Jian-Ping Liu
    Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
  • Bin Wang
    State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China; New South Wales Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga 2650, Australia. Electronic address: bin.a.wang@dpi.nsw.gov.au.
  • Zhao-Lan Liu
    Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.

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