Max Robotics — Global Service Robot Directory + US Certification

About

Gerhard Kleinszig is a leading figure at the intersection of medical robotics and advanced intraoperative imaging, with his work driving significant improvements in both pulmonary and orthopedic surgery. His primary research focuses on developing image-guided robotic systems that enhance surgical precision by correcting for anatomical divergence and workflow inefficiencies. Kleinszig’s most impactful contribution is his work on shape-sensing robotic-assisted bronchoscopy, where he demonstrated that integrating mobile cone-beam CT (CBCT) guidance can correct for computed tomography-to-body divergence (CTBD), a major barrier to diagnosing peripheral lung nodules. This landmark 2024 study, with 21 citations, has rapidly become a cornerstone for improving diagnostic outcomes in bronchoscopy. Beyond the chest, he has pioneered fluoroscopically-guided robotic assistants for pelvic trauma surgery, creating methods that use standard intraoperative radiographs and preoperative CT to align robotic tools with target trajectories, eliminating the need for geometric calibration of C-arms. His work also extends to statistical shape modeling for automated planning in ankle syndesmosis reduction and surgical process modeling for bronchoscopy workflow. Through these innovations, Kleinszig is fundamentally shaping the future of precision, robot-assisted interventions.