GSS EU Science Funding Gateway

Proposals should address all of the following:

• Supporting the clinical development, testing and validation of AI-assisted treatment and care options, hereby assisting in clinical decision-making.
• Timely end-user inclusion along the clinical development of the AI-based solutions and the clinical validation process, considering the potential of social innovation approaches to support inclusion and dialogue between patients, carers and health care professionals.
• Enhancing accurate prognosis for and response to a specific personalised treatment, hereby providing a solid risk assessment.
• Inclusion of sex and gender aspects, age, socio-economic, lifestyle and behavioural factors and other social determinants of health, as soon as possible considering also early stages/phases of development.
• Assessing potential manual or automated biases for large uptake.
• Integration of an extensive information and communication package about AI-assisted treatment options;, highlighting their relevance for the patients and carers.
• Measuring the (cost-)effectiveness of AI-assisted development of therapeutic strategies and its implementation in clinical practice.

Proposals should describe a pathway for establishing standard operating procedures for the integration of AI in health care. Additionally, they are encouraged to consider multidisciplinary approaches and allow for intersectoral representation, and they have to ensure that resulting data comply with the FAIR principles and data generated by the AI-based solutions are in line with established international standards. Proposals should also focus on traceability, transparency, and auditability of AI algorithms in health. International collaboration is encouraged, to ensure the comprehensiveness, interoperability and transferability of the developed solutions.