The Promise of AI for Image-Driven Medicine: Qualitative Interview Study of Radiologists’ and Pathologists’ Perspectives
This study points to the importance of maintaining a "healthy skepticism" on the promise of AI in imaging specialisms and argues for more structural and inclusive discussions about whether AI is the right technology to solve current problems encountered in daily clinical practice.
Authors
- Megan Milota (ORCID: https://orcid.org/0000-0002-2144-4175)
- Shoko Vos (ORCID: https://orcid.org/0000-0001-9012-5146)
- Karin Rolanda Jongsma (ORCID: https://orcid.org/0000-0001-8135-6786)
- Wouter B. Veldhuis (ORCID: https://orcid.org/0000-0002-9798-6843)
- Jojanneke Drogt (ORCID: https://orcid.org/0000-0002-2153-4971)
Institutions
- Radboud University Nijmegen (NL)
- Utrecht University (NL)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- Radboud University Medical Center (NL)
- University Medical Center Utrecht (NL)
Publication Details
- Journal
- JMIR Human Factors
- Published
- 2024-09-13
- DOI
- https://doi.org/10.2196/52514
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.60
Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek