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About

Xiao-Feng Le is a leading spine surgeon and researcher whose work centers on advancing minimally invasive spinal instrumentation through robotic assistance. His primary research areas include the precision and safety of robot-assisted pedicle screw placement, particularly in lumbar spinal surgery. Le’s major contributions lie in demonstrating the clinical superiority of robotic systems over conventional fluoroscopic guidance. In a landmark 2018 matched-cohort study (125 citations), he showed that robot-assisted cortical bone trajectory (CBT) screw instrumentation significantly improves accuracy and reduces complications. He further quantified these benefits by investigating superior-level facet joint violations (FJV), a critical complication of screw misplacement. His 2019 prospective study (85 citations) found that robot-assisted percutaneous pedicle screw placement dramatically lowers FJV rates compared to open fluoroscopic-guided techniques. In a 2019 retrospective analysis (31 citations), he identified the specific risk factors for FJV during CBT screw placement, again favoring the robot-assisted approach. Through these high-impact studies, Le has established a robust evidence base for the adoption of robotic assistance in spinal surgery, directly improving patient outcomes and surgical safety.