Patients Are Generally Supportive of Artificial Intelligence in Breast Imaging: A Multisite Survey of Breast Imaging Patients
Breast imaging patients have an overall favorable view of AI in breast cancer screening, with variable support by demographics. Education and outreach efforts should target perceived challenges to AI adoption to improve patient acceptance.
Authors
- Brian N. Dontchos (ORCID: https://orcid.org/0000-0002-2779-2218)
- Lisa A. Mullen (ORCID: https://orcid.org/0000-0003-3191-2865)
- Sonya Bhole
- Lars Grimm
- Christine E. Edmonds (ORCID: https://orcid.org/0000-0002-9606-816X)
- Jay R. Parikh (ORCID: https://orcid.org/0009-0001-5949-9171)
- James A Epling
- Soren Christensen
- Caroline P Daly
- Katerina Dodelzon
Institutions
- Northwestern University (US)
- Prisma Health (US)
- Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa (ZA)
- Bronson Methodist Hospital (US)
- The University of Texas MD Anderson Cancer Center (US)
- Johns Hopkins University (US)
- University of South Carolina (US)
- Duke University (US)
- Cornell University (US)
- Johns Hopkins Medicine (US)
- Fred Hutch Cancer Center (US)
- Duke University Hospital (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Journal of Breast Imaging
- Published
- 2025-09-30
- DOI
- https://doi.org/10.1093/jbi/wbaf066
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00