Australian healthcare workers’ views on artificial intelligence in BreastScreen: Results of a mixed method survey study
The findings suggest an optimistic attitude towards AI among Australian healthcare workers, although when given hypothetical scenarios for the way AI could be integrated into BreastScreen, there was increasing caution with scenarios where AI was more autonomous. This study highlights understanding and concerns of healthcare professionals working in population screening which are important to address when implementing AI into the healthcare system.
Authors
- Jennifer H. Tang (ORCID: https://orcid.org/0000-0003-4238-2791)
- Jocelyn Lippey (ORCID: https://orcid.org/0000-0001-9977-1646)
- Maho Omori (ORCID: https://orcid.org/0000-0003-1316-5560)
- Helen Frazer (ORCID: https://orcid.org/0000-0001-9399-8102)
- Katrina Kunicki (ORCID: https://orcid.org/0000-0001-6579-3150)
- Prabhathi Basnayake
Institutions
- Harvard University (US)
- The University of Melbourne (AU)
- St Vincent's Hospital Melbourne (AU)
- Massachusetts General Hospital (US)
- Torrens University Australia (AU)
- Melbourne Health (AU)
- Breastscreen Victoria (AU)
- St Vincents Institute of Medical Research (AU)
Publication Details
- Journal
- Preventive Medicine Reports
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1016/j.pmedr.2024.102917
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.72
Funders
- Australian Government
- St Vincent's Hospital Melbourne