Papers
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Total Citations
10
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About
Xinfeng Wu is a leading researcher in the field of surgical robotics and orthopaedic biomechanics, with a primary focus on optimizing ultrasonic osteotomy for spinal surgery. His most-cited work, "Drilling Speed and Bone Temperature of a Robot-assisted Ultrasonic Osteotome Applied to Vertebral Cancellous Bone" (2020), has garnered 10 citations and represents a critical contribution to the safety and efficacy of robot-assisted bone cutting. In this study, Wu systematically investigated how varying ultrasonic parameters affect both drilling site temperature and penetration time, providing essential data for preventing thermal necrosis during vertebral procedures. This research bridges the gap between robotic precision and biological tissue preservation, offering surgeons evidence-based guidelines for minimizing heat-related damage to cancellous bone. Wu’s work is particularly notable for its practical implications in spinal surgery, where thermal injury can lead to implant failure or neurological complications. By quantifying the trade-offs between speed and heat generation, he has laid the groundwork for safer, more efficient robotic osteotomes. His findings continue to inform the design of next-generation surgical robots, making him a key figure in advancing minimally invasive, robot-assisted orthopaedic interventions.
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