About the Programme

The programme provides a solid foundation in medical imaging physics, programming, classical image processing, machine learning, deep learning and robotic perception, complemented by training in validation strategies, uncertainty management and common methodological pitfalls in medical AI. Particular emphasis is placed on trustworthy and responsible AI, including ethical considerations, explainability, risk management, and the regulatory frameworks governing AI in healthcare, such as the EU Artificial Intelligence Act and the Medical Device Regulation.

In the second year, the curriculum advances towards state-of-the-art and emerging topics, including multimodal and longitudinal medical imaging analysis, self-supervised and foundation models, image-guided interventions, and the evaluation and validation of medical AI systems, providing exposure to AI-enabled robotic tools integrated into clinical workflows.