The AISym4MED project is a pioneering initiative aimed at accelerating the development of robust AI solutions in healthcare through the creation of a secure and trustworthy platform. This platform facilitates secure data sharing, synthetic data generation, and comprehensive data and model auditing, addressing key challenges in the healthcare sector, such as data privacy concerns and the scarcity of accessible, high-quality data.
This policy paper outlines the project’s objectives, progress, and achievements, highlighting the development of key tools such as the pyMDMA Python library for evaluating both real and synthetic data. By adhering to European data protection standards, AISym4MED is poised to enhance medical research, improve patient outcomes, and position Europe as a leader in AI-driven healthcare innovation. Additionally, the paper examines the project’s significant policy implications, including its potential to inform data governance, AI regulation in healthcare, and the broader landscape of healthcare innovation. The paper also looks ahead to the next steps for AISym4MED, which include refining its synthetic data capabilities, conducting pilot studies, and fostering wider adoption through a community of practice.
Check the Policy Brief here!
