Living labs

Living labs are designed to allow innovations to be “tested” for a limited period under conditions as close to reality as possible, and with regulatory oversight, even if they would otherwise encounter limitations or unresolved questions under the existing legal framework.

Living labs are designed to allow innovations to be “tested” for a limited period under conditions as close to reality as possible, and with regulatory oversight, even if they would otherwise encounter limitations or unresolved questions under the existing legal framework.

Distributed Artificial Intelligence for the Operating Room - DAIOR

Funding period: July 1, 2023 - June 30, 2027

Brief description: The DAIOR project aims to create the operating room of the future—digitally connected and capable of continuously receiving, transmitting, and processing knowledge—through clinically effective use cases and a planned AI ecosystem.

By using federal learning methods, AI algorithms can be trained with data from different locations, even across national borders, while the data remains at the locations and data protection is guaranteed. The project focuses on two use cases: the continuous analysis of surgical data for real-time support during operations and cross-border AI-assisted, robot-supported telesurgery.

Goals/outcomes: Development of a German-French distributed AI ecosystem for use in the operating room

Project partners: Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., Institut Hospitalo-Universitaire de Strasbourg

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 must first be extensively trained using suitable data. The DAIOR project seeks to develop a German–French distributed AI ecosystem for operating rooms. By using federal learning methods, AI algorithms can be trained with data from multiple locations, even across borders, while keeping the data at the source and maintaining full data protection.

DAIOR

The project focuses on two main use cases: continuous analysis of surgical data for real-time operational support, and cross-border AI-assisted, robot-supported telesurgery. With these clinically relevant use cases and the planned AI ecosystem, DAIOR aims to build the operating room of the future within the hospital of the future, which will be digitally connected and able to continuously receive, send, and process knowledge. The project contributes to the development of practical, distributed AI methods, the creation of a sustainable scientific and technological cooperation structure, promotes German-French cooperation in the field of AI in healthcare.

Project partners

DAIOR Projektpartner
Bundesministerium für Bildung und Forschung

Funding organization

The project is funded by the German Federal Ministry of Education and Research (BMBF) and the French Ministry of Higher Education and Research (MESR). The funding measure is part of the implementation of the German government's AI strategy and the High-Tech Strategy 2025. The bilateral funding measure is managed in Germany by the DLR Project Management Agency and in France by the Agence Nationale de la Recherche (ANR).