Qinjing Lv
Papers
2
Total Citations
11
H-Index
2
About
Qinjing Lv is a researcher advancing the field of robot-assisted orthopedic surgery, with a focus on improving safety and precision in bone manipulation. Her key research areas include robotic fracture reduction, bone drilling thermal management, and surgical process optimization. Lv’s major contributions center on developing a bone collision detection method for robot-assisted fracture reduction that uses force curve slope analysis—a novel approach to enhance intraoperative safety. She has also pioneered the use of drill bit precooling to mitigate thermal necrosis during robotic bone drilling, directly addressing a critical factor in post-operative recovery. Her work on the effect of process parameters on temperature changes during drilling has been cited 4 times, while her collision detection method has garnered 7 citations, reflecting growing interest in her practical solutions. By integrating thermal analysis with robotic control, Lv is helping to make bone drilling procedures safer and more predictable, with implications for improved patient outcomes in complex orthopedic surgeries.
Research Focus
Key Achievements
Top Papers
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