Complications can always occur during operations, sometimes resulting in death. A new project called KIPeriOP aims to minimize the risk of such complications. The project is based on digitized decision guidelines and self-learning algorithms intended to provide reliable risk assessment based on individual patient data. What is the probability that certain complications will occur, and how might they be avoided? The project is coordinated by Prof. Dr. Anja Hennemuth from the Fraunhofer Institute for Digital Medicine MEVIS and Prof. Dr. Patrick Meybohm from the University Hospital of Würzburg. Clinicians from the Asklepios Medical School GmbH, the University Hospital Frankfurt and the Charité – Universitätsmedizin Berlin are involved. They are working together with experts from the fields of AI, user guidance, ethics, and health economics.