Factors affecting medical artificial intelligence (AI) readiness among medical students: taking stock and looking forward.

Journal: BMC medical education
PMID: 39966878

Abstract

BACKGROUND: Measuring artificial intelligence (AI) readiness among medical students is essential to assess how prepared future doctors are to work with AI technology. Therefore, this study aimed to examine the factors influencing AI readiness among medical students at Kermanshah University of Medical Sciences, both by evaluating the current situation and considering future developments.

Authors

  • Arash Ziapour
    Cardiovascular Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
  • Fatemeh Darabi
    Department of Public Health, Asadabad School of Medical Sciences, Asadabad, Iran.
  • Parisa Janjani
    Cardiovascular Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
  • Mohammad Amin Amani
    School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran. amin.amani@ut.ac.ir.
  • Murat Yıldırım
    Psychology Research Centre, Khazar University, Baku, Azerbaijan.
  • Sayeh Motevaseli
    Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran. sayemotevaseli@gmail.com.

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