Clarity is needed about liability when medical AI fails
Artificial intelligence (AI) plays an increasing role in medical diagnosis, particularly in image recognition.In cancer pathways, AI tools are already established in mammography screening, where they can improve diagnostic performance and increase efficiency. 1 2 But we need to consider what happens and who is responsible when AI gets it wrong.
Authors
- Robert Kellar
- Gordon Wishart (ORCID: https://orcid.org/0000-0001-7955-0299)
Institutions
- Checkit (United Kingdom) (GB)
- Crown Estate (United Kingdom) (GB)
- Anglia Ruskin University (GB)
Publication Details
- Journal
- BMJ
- Published
- 2026-02-18
- DOI
- https://doi.org/10.1136/bmj.s320
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00