PhD candidate in 'Deepfakes' in Radiology: Synthetic Imaging Data for Medical AI Regulation

This PhD position focuses on the use of synthetic medical imaging data in the development and regulatory evaluation of AI in medical devices. The candidate will investigate how such data can serve as reliable evidence, addressing challenges related to representativeness, bias, and privacy. The project is part of the COMPASS4MD consortium, which aims to establish new methodologies for evaluating clinical evidence. The role involves both technical analysis and regulatory science, providing a unique opportunity to contribute to the intersection of medical imaging AI and European regulatory frameworks.

• Investigate the use of synthetic medical imaging data in regulatory evaluations.
• Conduct technical evaluations of synthetic imaging data quality.
• Analyze how synthetic data can augment training and validation processes.
• Review the scientific and regulatory landscape related to synthetic data.
• Engage with stakeholders through interviews and consensus methods.
• Develop minimum evidence standards for regulatory submissions.