An insightful open-access article titled “Categorising challenges and solutions towards ethical AI in breast cancer treatment: a rapid umbrella review complemented by participatory methods” has been published in the journal AI and Ethics, Springer Nature.
Authored by Carina Dantas, Miriam Cabrita, Luís Midão, Ana Sofia Carvalho, and Elísio Costa, the research offers a timely and structured review of ethical challenges related to AI applications in breast cancer care.
📄 Article Highlights
- Uses a rapid umbrella review, enriched by participatory stakeholder sessions and interviews, to categorise ethical challenges into four key domains:
– Individual (e.g. training, bias),
– Technical (e.g. skewed datasets, poor designs),
– Organisational (e.g. lack of audit, team diversity), and
– Societal (e.g. inequities, regulatory gaps)
- Proposes an ethics-by-design model, advocating early, inclusive multi-stakeholder engagement to anticipate and mitigate bias in AI-based healthcare systems
This publication strongly resonates with the mission of SHINE 2Europe, which promotes inclusive, ethical, and socially-minded innovation across Europe, with multi-sector collaboration to digital health ethics.
The article embedded some key conclusions of the RadioVal (radioval.eu) social innovation sessions in its analysis, a Horizon Europe project validating AI tools for breast cancer diagnosis.
Carina stressed “A robust ethics-by-design framework informed by broad multistakeholder engagement is essential for anticipating and mitigating bias in AI healthcare and promoting a fairer use of AI in health”.
The full article is available open access in AI and Ethics:
https://link.springer.com/article/10.1007/s43681-025-00777-7