The role of patient outcomes in shaping moral responsibility in AI-supported decision making
Understanding practitioner perceptions of accountability is critical for developing ethical frameworks, training programs, and shared responsibility models that ensure the safe integration of AI into clinical practice. Robust regulatory structures are necessary to address the unique challenges of AI-assisted decision-making.
Authors
- Ajesh Singh (ORCID: https://orcid.org/0000-0002-9051-0404)
- Crispen Chamunyonga (ORCID: https://orcid.org/0000-0002-6714-4362)
- Sarah Daniel (ORCID: https://orcid.org/0000-0003-3010-1120)
- Christopher Edwards (ORCID: https://orcid.org/0000-0001-7466-9530)
- Andrew Murphy (ORCID: https://orcid.org/0000-0002-7710-6095)
Institutions
- Queensland University of Technology (AU)
- Royal Brisbane and Women's Hospital (AU)
- Princess Alexandra Hospital (AU)
- Redcliffe Hospital (AU)
Publication Details
- Journal
- Radiography
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1016/j.radi.2025.102948
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65