Artificial Intelligence-Powered Training Database for Clinical Thinking: App Development Study.

Journal: JMIR formative research
PMID: 39773693

Abstract

BACKGROUND: With the development of artificial intelligence (AI), medicine has entered the era of intelligent medicine, and various aspects, such as medical education and talent cultivation, are also being redefined. The cultivation of clinical thinking abilities poses a formidable challenge even for seasoned clinical educators, as offline training modalities often fall short in bridging the divide between current practice and the desired ideal. Consequently, there arises an imperative need for the expeditious development of a web-based database, tailored to empower physicians in their quest to learn and hone their clinical reasoning skills.

Authors

  • Heng Wang
    Fujian Key Laboratory of Traditional Chinese Veterinary Medicine and Animal Health, College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, China.
  • Danni Zheng
    Education Department, Peking University Third Hospital, Beijing, China.
  • Mengying Wang
    College of Chemical Engineering and Environment, China University of Petroleum-Beijing Beijing 102249 China.
  • Hong Ji
  • Jiangli Han
    Department of Cardiology, Peking University Third Hospital, Beijing, China.
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Ning Shen
    State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, 130012 Changchun, China. Electronic address: shenning17@mails.jlu.edu.cn.
  • Jie Qiao

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