End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
Horizon Europe 2025 Work Programme – Health Cluster – Destination “Ensuring equal access to innovative, sustainable, and high-quality healthcare”
€15.0M - €20.0M
16/09/2025
Non-profit, Private Business, Research Institution, Public Institution, Other
Trusted by
What is the End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU) Call?
Expected Outcomes
• Cross-country methodologies to facilitate acceptability, uptake and public trust of AI-based virtual assistants.
• Patients experience improved outcomes, more personalized care, greater engagement, better access to health information and communication with providers.
• Healthcare systems achieve superior, cost-effective patient outcomes over standard of care, with increased accuracy, safety, transparency, traceability and explainability, leading to cost savings and sustainable, resilient health service delivery.
Scope Requirements
• Focus on Generative AI models developed in the EU and Associated Countries, with open-source approach when feasible.
• Adherence to FAIR data principles and GDPR‐compliant processes, leveraging best practices from European research infrastructures.
• No expansion of health data or AI infrastructure; instead exploit existing/emerging infrastructures (European Health Data Space, European Genomic Data Infrastructure, Cancer Image Europe, EOSC, EBRAINS, AI factories).
• Training models on diverse multimodal data, including multiple EU languages for inclusivity.
• Synergies with relevant Horizon Europe and Digital Europe projects and missions (e.g., Rare Diseases, Cancer Mission), adopting federated data‐management/access recommendations where applicable.
• Inclusion of SSH disciplines to enhance societal impact.
• Budget allocation for future joint networking and best-practice exchange activities.
• Clinical studies detailed in dedicated annex if applicable.
Special Conditions
• US entities eligible for funding; JRC may join as consortium member post-award.
• Copernicus and/or Galileo/EGNOS must be used if satellite data are involved.
• Include budget for unspecified joint collaboration activities.
• Collaboration with AI factories encouraged under specific access terms.
• Proposals must consider JRC involvement for regulatory science interface.
• Any clinical study must follow template in submission system.
• Evaluation thresholds: Excellence ≥4, Impact ≥4, Implementation ≥4, total ≥12.
• Adhere to Horizon Europe MGA and general annexes for admissibility, eligibility, exclusion, evaluation, and reporting requirements.
Open from: 22/05/2025
Deadline:16/09/2025
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