AI in Healthcare

This joint project with the Federation of European Academies of Medicine (FEAM) will use case studies to explore how the added benefits of AI-incorporated health products and services can be evaluated for adoption into healthcare use. Outputs will assess where new guidance or regulation is desirable, taking into account existing legislation and regulatory frameworks in development. Key issues to be addressed include: data quality and uncertainty; interoperability and federation of datasets; validation of algorithms; ethical issues and responsibilities, including privacy and security.

An EASAC-FEAM joint scoping paper was finalised in January 2023 and presented at a meeting in Sweden in May, co-organised by FEAM under the auspices of the Swedish Presidency of EU Council and with interventions from the European Parliament rapporteur for the European Health Data Space, the DG Sante legal lead on AI, and members of the Swedish Parliament and Health Authority. This was a very useful occasion to raise the visibility of the forthcoming project and to remind policymakers and stakeholders about the continuing issues for data quality and sharing, societal concerns and the need for coherence in policy frameworks.

EASAC and FEAM are currently setting up the working group of experts that will draft a consensus report for this project. Once this is organised, the names of the members of the working group will be published.

For any inquiries, please contact FEAM Forum Policy Officer Louise Abboud (louise.abboud [at] feam.eu) or EASAC Biosciences and Public Health Programme Director Rosa Castro (rosa.castro [at] easac.eu).