Non-radiologist perception of the use of artificial intelligence (AI) in diagnostic medical imaging reports.

Journal: Journal of medical imaging and radiation oncology
Published Date:

Abstract

INTRODUCTION: Incorporating artificial intelligence (AI) in diagnostic medical imaging reports has the potential to improve efficiency. Although perception of radiologists, radiographers, medical students and patients on AI use in image reporting has been explored, there is limited literature on non-radiologist clinicians' opinion on this topic.

Authors

  • Sophie Soyeon Lim
    Department of Radiology, Alfred Hospital, Melbourne, Victoria, Australia.
  • Tuan D Phan
    Department of Radiology, Alfred Hospital, Melbourne, Victoria, Australia.
  • Meng Law
    Department of Neuroscience, Monash University, Melbourne, Australia; Radiology and Nuclear Medicine, Alfred Health, Melbourne, Australia; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Australia.
  • Gerard S Goh
    Department of Radiology, Alfred Health, Melbourne, VIC, Australia. g.goh@alfred.org.au.
  • Heather K Moriarty
    Department of Radiology, Alfred Hospital, Melbourne, Victoria, Australia.
  • Matthew W Lukies
    Department of Radiology, Alfred Hospital, Melbourne, Victoria, Australia.
  • Timothy Joseph
    Department of Radiology, Alfred Hospital, Melbourne, Victoria, Australia.
  • Warren Clements
    Department of Radiology, Alfred Hospital, Melbourne, Victoria, Australia.