Artificial intelligence in radiology: trainees want more.

Journal: Clinical radiology
Published Date:

Abstract

AIM: To understand the attitudes of UK radiology trainees towards artificial intelligence (AI) in Radiology, in particular, assessing the demand for AI education.

Authors

  • O-U Hashmi
    East of England Imaging Academy, The Cotman Centre, Norfolk and Norwich University Hospital, Norwich, NR4 7UB, UK. Electronic address: ohashmi16@gmail.com.
  • N Chan
    Department of Interventional Neuroradiology, The Royal London Hospital, Whitechapel Road, London, UK.
  • C F de Vries
    Aberdeen Centre for Health Data Science, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
  • A Gangi
  • L Jehanli
    North West School of Radiology, Manchester, UK.
  • G Lip
    National Health Service Grampian (NHSG), Aberdeen Royal Infirmary, Aberdeen, UK.