Papers
2
Total Citations
8
H-Index
2
About
Jingbo Pan is a researcher at the forefront of surgical robotics, with a focused expertise in robot-assisted orthopedic and spinal surgery. His work addresses critical challenges in bone milling, a common yet high-risk procedure where excessive heat can cause irreversible thermal necrosis of bone and tissue. Pan’s major contributions include developing prediction models and sensitivity analyses for robot bone milling temperature, enabling safer operations by anticipating and mitigating thermal damage. He has also advanced trajectory planning methods for vertebral plate grinding in spinal surgery, tackling one of the most complex and dangerous laminar decompression procedures. His research, published in 2021, has garnered citations that reflect its growing relevance in the field of medical robotics. By integrating lamina milling skills with robotic precision, Pan’s work directly supports surgeons in performing safer, more accurate spinal operations. His achievements highlight a commitment to reducing surgical risk through intelligent automation, making him a notable figure in the intersection of robotics and orthopedic surgery.
Research Focus
Key Achievements
Top Papers
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