Research Projects
Besides planning orthopedic surgeries, ROCS is involved in various research areas related to the planning and execution of surgical procedures. The main focus is on computer-aided, simulation-based planning as well as the use of Machine Learning (ML) and Augmented Reality (AR) to support the surgeon during the operation.
Support of the surgeon through auditory signals
Deep learning based mathematical representation of spinal surgery workflows
A project to develop advanced augmented reality visualizations for image-based interventions
Development of an algorithm for simulation-based preoperative surgical planning, for the optimal correction of leg deformities under consideration of weight-bearing
A project to develop augmented reality visualizations for image-based interventions by extension of intraoperative X-ray systems
Application for image annotation for machine learning algorithms for object recognition
Analysis of movement in the distal radioulnar joint before and after surgery
Generation of ready-to-use preoperative solutions for orthopaedic surgeries
Establishment of a centre for computer-assisted orthopaedic surgery