End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)

Development of Generative AI-based virtual assistant solutions.

Training and education activities for healthcare professionals.

Regulatory strategy development and interaction with regulators.

Continuous assessment of developed solutions, including technical robustness, trustworthiness, and ethical compliance.

Excellence: Quality of the project’s objectives, methodology, and innovation.

Impact: Contribution to healthcare outcomes, cost-effectiveness, and societal benefits.

Implementation: Quality and efficiency of the work plan, resources, and consortium.

Projects not adhering to GDPR or FAIR data principles.

Projects lacking EU-added value or failing to involve EU industrial developers.

Projects expanding health data infrastructures (not in scope).

Proposals must demonstrate EU-added value, focusing on the development of trustworthy Generative AI models in the EU.

Adherence to transparency standards, including documentation, assumptions, and FAIR data management.

Submission through the Funding & Tenders Portal.

Evaluation based on thresholds for Excellence, Impact, and Implementation.

Detailed project proposal.

Consortium agreement.

Compliance with ethical, legal, and societal implications (ELSI).