HUMIN
Human-machine interaction of a CT-guided robotic needle positioning system
Lung cancer is the leading cause of cancer-related deaths with 260,000 deaths in Europe and 1.8 million worldwide annually. Taking biopsies in early stage of small lung lesions is crucial but challenging. Surgical robotics enhanced with Artificial Intelligence have the potential to significantly improve current intervention performance. The project aims to design a Human-Machine Interface for a robotic system integrating CT-scanner information and a needle positioning arm to assist clinicians.
Collaboration
In this project TU/e and Syntric Medical will collaborate on the development of a first version of a Human-Machine Interface for a CT-guided robotic needle positioning system. For the clinical user perspective we collaborate with radiologists of the Radboud University Medical Centre.