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

Viewpoint and Opinions on Innovation in Medical Education (64) Models and Frameworks in Medical Education (33) Student/Learners Perceptions and Experiences with Educational Technology (73) Undergraduate Education for Future Doctors (87) Artificial Intelligence (96)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43415, first published .
Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty

Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty

Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty

Authors of this article:

David Shalom Liu1 Author Orcid Image ;   Kamil Abu-Shaban1 Author Orcid Image ;   Safwan S Halabi2 Author Orcid Image ;   Tessa Sundaram Cook3 Author Orcid Image
Article Authors Cited by (5) Tweetations (6) Metrics

David Shalom Liu   1 , BSc, MS ;   Kamil Abu-Shaban   1 , BSc ;   Safwan S Halabi   2 , MD ;   Tessa Sundaram Cook   3 , MD, PhD

1 University of Toledo College of Medicine and Life Sciences, Toledo, OH, United States

2 Department of Medical Imaging, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, United States

3 Department of Radiology, Hospital of the University of Pennsylvania, Pennsylvania, PA, United States

Corresponding Author:

  • David Shalom Liu, BSc, MS
  • University of Toledo College of Medicine and Life Sciences
  • 2801 W Bancroft
  • Toledo, OH, 43606
  • United States
  • Phone: 1 4016628518
  • Email: david.liu@utoledo.edu