Assessing the disconnect between student interest and education in artificial intelligence in medicine in Saudi Arabia.

Journal: BMC medical education
PMID: 39881303

Abstract

BACKGROUND: Although artificial intelligence (AI) has gained increasing attention for its potential future impact on clinical practice, medical education has struggled to stay ahead of the developing technology. The question of whether medical education is fully preparing trainees to adapt to potential changes from AI technology in clinical practice remains unanswered, and the influence of AI on medical students' career preferences remains unclear. Understanding the gap between students' interest in and knowledge of AI may help inform the medical curriculum structure.

Authors

  • Abeer F Almarzouki
    Clinical Physiology Department, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia. afmalmarzouki@kau.edu.sa.
  • Alwaleed Alem
    Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Faris Shrourou
    Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Suhail Kaki
    Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Mohammed Khushi
    Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Abdulrahman Mutawakkil
    Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Motasem Bamabad
    Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Nawaf Fakharani
    Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Mohammed Alshehri
    Department of Computer Science, College of Computer Science and Information System, Najran University, Najran 55461, Saudi Arabia.
  • Mohanad Binibrahim
    Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.

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