A roadmap for federated learning projects using health data to guide sustainable artificial intelligence development in the European Union
This work consolidates early lessons from FL in healthcare into a practical, step-by-step roadmap that integrates ethical, legal, technical and administrative aspects in the European context. By offering a shared framework for diverse stakeholders, it supports more trustworthy, scalable and compliant AI collaborations across healthcare systems.
Authors
- Mari Kangasniemi (ORCID: https://orcid.org/0000-0003-0690-1865)
- Taridzo Chomutare (ORCID: https://orcid.org/0000-0003-3603-175X)
- Silja Elunurm
- Laura‐Maria Peltonen (ORCID: https://orcid.org/0000-0001-5740-6480)
- Janne Kommusaar
- Sanna Salanterä
Institutions
- University of Turku (FI)
- Turku University of Applied Sciences (FI)
- Turku University Hospital (FI)
- NORCE Research AS (NO)
- University of Tartu (EE)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-12-25
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.106242
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00