Highly complex surgical procedures can be performed more safely and precisely with the help of artificial intelligence (AI). However, in order to significantly improve patient care, AI algorithms first need to be extensively trained using suitable data. By applying federated learning methods, AI algorithms can be trained using data from different locations, even across national borders, while the data remains at the respective sites and data protection is ensured. 

With these clinically impactful use cases and the planned AI ecosystem, DAIOR aims to establish the operating room of the future within the hospital of the future — a digitally connected environment capable of continuously receiving, transmitting, and processing knowledge. 

The project contributes to the development of practical distributed AI methods and the establishment of a sustainable scientific and technological cooperation structure. It also promotes German-French collaboration in the field of AI in healthcare.