Radiation oncology patients’ perceptions of artificial intelligence and machine learning in cancer care: A multi-centre cross-sectional study
This is the largest questionnaire study to date of radiation oncology patients' perceptions of AI/ML, establishing a clear baseline. These results can inform future governance around AI/ML in radiotherapy. Actionable steps include informing patients of AI/ML use in their care and engaging physicians during development and regulation of the technology.
Authors
- Brooke Nickel (ORCID: https://orcid.org/0000-0002-8100-4278)
- Stacy M. Carter (ORCID: https://orcid.org/0000-0003-2617-8694)
- S. Carroll (ORCID: https://orcid.org/0000-0002-3746-8892)
- Joseph Chan (ORCID: https://orcid.org/0009-0001-2870-0362)
- Lisa Parker
Institutions
- The University of Sydney (AU)
- University of Wollongong (AU)
- Royal North Shore Hospital (AU)
- Dubbo Hospital (AU)
Publication Details
- Journal
- Radiotherapy and Oncology
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1016/j.radonc.2025.110891
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.27