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About

Shuo Feng is a leading orthopedic researcher whose work centers on advancing spinal surgery techniques, particularly for elderly and osteoporotic patients. His primary research areas include robot-assisted spine surgery, minimally invasive pedicle screw fixation, and the clinical optimization of lumbar interbody fusion procedures. Feng’s major contributions lie in demonstrating the superiority of robotic guidance over traditional freehand fluoroscopy for pedicle screw placement. His landmark 2019 study on robot-assisted surgery for osteoporotic patients (68 citations) established that robotic systems significantly improve screw accuracy and reduce complications in compromised bone. In a companion study (56 citations), he showed that percutaneous robot-assisted minimally invasive pedicle screw insertion in elderly patients undergoing oblique lateral interbody fusion (OLIF) yields better clinical outcomes—including reduced blood loss, shorter hospital stays, and fewer complications—compared to conventional open techniques. These findings have directly influenced surgical protocols, making complex spinal procedures safer for aging populations. With over 120 combined citations for these two pivotal papers, Feng’s work continues to shape the integration of robotics into everyday spinal practice, offering a compelling evidence base for the shift toward precision, minimally invasive approaches in orthopedics.