_{• Fully guided cases allowing self-learning/training and enforcing best practices}

_{• High-fidelity performance metrics enabling advanced benchmarking, assessment and proficiency-based training (more than 200 unique metric parameters over 10 phases and more than 35 steps)}

_{• Editable options to allow for exercise- specific setting of parameters such as table orientation and c-arm joysticks, enabling or disabling of guidance and visual feedback, whatpart of the procedure to run and automatic selection of devices}

_{• High-fidelity device behavior ensuring that complex maneuvers can be accurately trained and learned}