Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study.

Journal: Academic radiology
Published Date:

Abstract

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) has the potential to transform the clinical practice of radiology. This study investigated Canadian medical students' perceptions of the impact of AI on radiology, and their influence on the students' preference for radiology specialty.

Authors

  • Bo Gong
    MD Undergraduate Program, University of British Columbia, Vancouver, British Columbia, Canada; Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, 899 12th Avenue West, British Columbia V5Z 1M9, Canada. Electronic address: bogong.ustc@gmail.com.
  • James P Nugent
    MD Undergraduate Program, University of British Columbia, Vancouver, British Columbia, Canada; Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, 899 12th Avenue West, British Columbia V5Z 1M9, Canada. Electronic address: james.nugent@alumni.ubc.ca.
  • William Guest
    Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, 899 12th Avenue West, British Columbia V5Z 1M9, Canada. Electronic address: will.c.guest@gmail.com.
  • William Parker
    Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
  • Paul J Chang
    Department of Radiology, University of Chicago Medical Center, Chicago, Illinois. Electronic address: pchang@radiology.bsd.uchicago.edu.
  • Faisal Khosa
    Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, 899 12th Avenue West, British Columbia V5Z 1M9, Canada. Electronic address: fkhosa@hotmail.com.
  • Savvas Nicolaou
    Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, 899 12th Avenue West, British Columbia V5Z 1M9, Canada. Electronic address: savvas.nicolaou@vch.ca.