This paper is in the following e-collection/theme issue:

Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (104) Artificial Intelligence (1371) Continuing Medical Education (CME) for Allied Health Professionals (131) Artificial Intelligence (AI) in Medical Education (78)

Published on in Vol 8, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35223, first published .
Artificial Intelligence Education for the Health Workforce: Expert Survey of Approaches and Needs

Artificial Intelligence Education for the Health Workforce: Expert Survey of Approaches and Needs

Artificial Intelligence Education for the Health Workforce: Expert Survey of Approaches and Needs

Authors of this article:

Kathleen Gray1 Author Orcid Image ;   John Slavotinek2, 3 Author Orcid Image ;   Gerardo Luis Dimaguila4 Author Orcid Image ;   Dawn Choo1 Author Orcid Image
Article Authors Cited by (16) Tweetations (3) Metrics

Kathleen Gray   1 , PhD ;   John Slavotinek   2, 3 , MD ;   Gerardo Luis Dimaguila   4 , PhD ;   Dawn Choo   1 , PhD

1 Centre for Digital Transformation of Health, The University of Melbourne, Parkville, Australia

2 South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, Australia

3 College of Medicine and Public Health, Flinders University, Adelaide, Australia

4 Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Australia

Corresponding Author:

  • Kathleen Gray, PhD
  • Centre for Digital Transformation of Health
  • The University of Melbourne
  • Level 13, VCCC Building
  • 305 Grattan St
  • Parkville, 3010
  • Australia
  • Phone: 61 3 8344 8936
  • Email: kgray@unimelb.edu.au