TWIN-WIN: Development of a digital supertwin as a basis for innovations in robot-assisted surgery

The project aims to develop the foundation for optimized intraoperative navigation in robot-assisted surgery. A 3D digital twin will be created from the CT imaging of a phantom. Static registration between the phantom and the digital twin has already been achieved in "Surgery of the Future." AI predictions and real-time sensor data (endoscopy images, ultrasound, etc.) will be incorporated into the multi-sensor algorithm to capture the deformation that occurs in the abdominal anatomy during real surgeries in real time and adapt the digital twin accordingly. Software with a user interface will be developed for the AI-optimized algorithm. Based on this, a follow-up project will develop a real-time capable operating room navigation system for minimally invasive surgery (especially robotic surgery).