The mission of the Div. Computer Assisted Medical Interventions is to improve the quality of interventional healthcare in a data-driven manner. To this end, our multidisciplinary group builds upon principles and knowledge from a diversity of research fields including artificial intelligence (AI), statistics, computer vision, biophotonics and medicine. Committed to the ultimate goal of creating benefit for patients and medical staff, we aim to develop a holistic concept spanning the three significant topics perception, data interpretation and real-time assistance and connecting them through a cycle of continuous learning: Novel spectral imaging techniques enabled by deep learning are being developed as safe, reliable and real-time imaging modalities during interventions. When interpreting the perceived data in the context of available knowledge, our division specifically addresses common roadblocks to clinical translation such as data sparsity, explainability and uncertainty handling. In close collaboration with clinical partners, these methods are leveraged for the development of context-aware interventional assistance systems. Finally, we place a strong focus on the reliable validation of AI algorithms for clinical purposes.