About

Shu Lin is a spine surgeon and clinical researcher whose work sits at the intersection of robotic-assisted surgery, minimally invasive spinal techniques, and orthopedic trauma care. With a focused body of research examining thoracolumbar fractures, osteoporotic vertebral compression fractures, and spinal metastases, Lin has made meaningful contributions to advancing the precision and safety of modern spinal surgery. His most cited work — a 2022 comparative study of TiRobot-assisted versus fluoroscopy-guided percutaneous pedicle screw placement — has garnered 25 citations and helped establish an evidence base for robotic percutaneous techniques, a previously understudied frontier. Across multiple studies, Lin has consistently demonstrated that robot-guided approaches reduce radiation exposure, operative blood loss, and hospitalization time compared to traditional open or fluoroscopic methods. His research extends beyond surgical technique, including a randomized trial evaluating nurse-led early rehabilitation protocols following minimally invasive lumbar fixation, reflecting a holistic view of patient recovery. More recently, Lin has tackled challenging populations including elderly patients with severe osteoporosis and those with advanced spinal metastases, broadening the clinical reach of robotic spinal surgery. His cumulative work positions him as a rising voice in evidence-based, technology-driven spine care.

Research Focus

Key Achievements

6
H-Index
8
Papers
70
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of the Accuracy and Safety of <scp>TiRobot</scp>‐Assisted and Fluoroscopy‐Assisted Percutaneous Pedicle Screw Placement for the Treatment of Thoracolumbar Fractures
25 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: University of Electronic Science and Technology of China, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago