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

Focus Groups and Qualitative Research for Human Factors Research (1221) Human Factors and Usability Case Studies (1006) Artificial Intelligence (2141) Imaging Informatics (305) Clinical Information and Decision Making (1927) Computer-Aided Diagnosis (252)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52514, first published .
The Promise of AI for Image-Driven Medicine: Qualitative Interview Study of Radiologists’ and Pathologists’ Perspectives

The Promise of AI for Image-Driven Medicine: Qualitative Interview Study of Radiologists’ and Pathologists’ Perspectives

The Promise of AI for Image-Driven Medicine: Qualitative Interview Study of Radiologists’ and Pathologists’ Perspectives

Authors of this article:

Jojanneke Drogt1 Author Orcid Image ;   Megan Milota1 Author Orcid Image ;   Wouter Veldhuis1 Author Orcid Image ;   Shoko Vos2 Author Orcid Image ;   Karin Jongsma1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

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  2. Hou J, Cheng X, Liao J, Zhang Z, Wang W. Ethical concerns of AI in healthcare: A systematic review of qualitative studies. Nursing Ethics 2025 View
  3. Garcia E, Adam M, Dow E, Minaker S, Scarboro S, Storey P, Wood E, Abousy M, Wykoff C, Al-khersan H. Artificial Intelligence in Clinical Care: Perceptions of Retina Specialists and Patients Gathered Through a Multicenter Survey. Journal of VitreoRetinal Diseases 2025 View