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

Jojanneke Drogt   1 , MA, MSc ;   Megan Milota   1 , PhD ;   Wouter Veldhuis   1 , MD, PhD ;   Shoko Vos   2 , MD, PhD ;   Karin Jongsma   1 , PhD

1 University Medical Center Utrecht (UMC Utrecht), Utrecht, The Netherlands

2 Radboud University Medical Center, Nijmegen, The Netherlands

Corresponding Author:

  • Jojanneke Drogt, MA, MSc
  • University Medical Center Utrecht (UMC Utrecht)
  • Heidelberglaan 100
  • Utrecht 3584 CX
  • The Netherlands
  • Email: j.m.t.drogt@umcutrecht.nl