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 (99)

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

Journals

  1. Bhatt A, Bae J. Collaborative Intelligence to catalyze the digital transformation of healthcare. npj Digital Medicine 2023;6(1) View
  2. Qi W, Zhu X, He D, Wang B, Cao S, Dong C, Li Y, Chen Y, Wang B, Shi Y, Jiang G, Liu F, Boots L, Li J, Lou X, Yao J, Lu X, Kang J. Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis. Journal of Medical Internet Research 2024;26:e57830 View
  3. Javan R, Mostaghni N. Emergence of AI-Generated Multimedia: Visionary Physicists in Radiology Reincarnated. Cureus 2024 View
  4. Aljuhani M, Ashraf A, Edison P. Use of Artificial Intelligence in Imaging Dementia. Cells 2024;13(23):1965 View

Books/Policy Documents

  1. Khan A, Omokhoa V, Afzal S. Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems. View