Distributed AI for the Operating Room – DAIOR
DAIOR (Distributed Artificial Intelligence for the OR) aims to develop AI-driven technologies to improve outcomes of patients undergoing surgery, by integrating and analysing massive multimodal data generated in the operating room (OR) in real time through a distributed approach. We envision a future where interconnected ORs continuously receive, send and process knowledge using interoperable artificial intelligence models to promote value-based healthcare. Towards this ambition, this German-French project proposes to prototype and validate the next generation interoperable AI-empowered OR in Europe. DIAOR is centred on two use cases: 1) build and validate a novel surgical environment to leverage OR-based AI Federated Learning (FL) expertise existing in Mannheim & Strasbourg ORs, to ultimately improve patient outcomes; 2) implement an AI solution to enable cross-border robotic telesurgery between interoperable connected operating rooms.
Project coordination
Nicolas PADOY (FONDATION DE COOPERATION SCIENTIFIQUE)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partner
IPA Fraunhofer Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Koordinierungsstelle Telemedizin Baden-Württemberg
IHU MIXSURG FONDATION DE COOPERATION SCIENTIFIQUE
Help of the ANR 2,225,939 euros
Beginning and duration of the scientific project:
May 2023
- 48 Months