Shangqi Cui

Capital University, Capital Medical University

Papers

Total Citations

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About

Shangqi Cui is a leading researcher in the field of computer-assisted orthopedic surgery, with a primary focus on improving the safety and precision of spinal procedures. His work centers on developing advanced algorithms for pedicle screw path planning, a critical step in robot-assisted spinal fusion surgeries. Cui’s major contributions include pioneering methods for vertebral posture estimation to enhance screw trajectory accuracy, as detailed in his 2023 paper, which has already garnered 9 citations. He also introduced an innovative approach to optimal path planning using multi-directional projections in 2021, a technique that reduces the risk of complications from improper screw placement. By addressing the limitations of traditional planning methods, Cui’s research directly improves patient outcomes and reduces hospital readmission rates. His work is highly cited in the surgical robotics community, reflecting its practical impact on clinical workflows. Cui’s achievements represent a significant step toward fully autonomous, high-reliability robotic spinal surgery systems, making him a key figure in the intersection of medical imaging, biomechanics, and surgical automation.