Effectiveness of generative artificial intelligence-based teaching versus traditional teaching methods in medical education: a meta-analysis of randomized controlled trials.

Journal: BMC medical education
Published Date: Aug 19, 2025

Abstract

BACKGROUND: Artificial intelligence (AI) has demonstrated remarkable capabilities across diverse medical applications, potentially revolutionizing healthcare delivery systems. This systematic review and meta-analysis investigated the comparative effectiveness of generative artificial intelligence (GAI)-based teaching methodologies versus conventional pedagogical approaches on educational outcomes among medical students.

Authors

  • Juan Li
    Department of Hygienic Inspection, School of Public Health, Jilin University 1163 Xinmin Street Changchun 130021 Jilin China songxiuling@jlu.edu.cn li_juan@jlu.edu.cn jinmh@jlu.edu.cn +86 43185619441.
  • Kaiyu Yin
    Department of Anesthesiology, West China Second University Hospital, Sichuan University, Chengdu, China.
  • Yida Wang
    Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China. Electronic address: ydwang@phy.ecnu.edu.cn.
  • Xiaoqin Jiang
    Department of Anesthesiology, West China Second University Hospital, Sichuan University, Chengdu, China. 1598862657jxq@scu.edu.cn.
  • Dongxu Chen
    Fujian Medical University Union Hospital, Fuzhou 350001, China.

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