About

Liuyi Tang is an orthopedic surgeon and clinical researcher whose work sits at the cutting edge of robot-assisted spinal surgery. Specializing in minimally invasive techniques for thoracolumbar pathologies, Tang has made significant contributions to understanding how surgical robotics — particularly the TiRobot system — can improve outcomes across a range of complex spinal conditions, including fractures, osteoporotic vertebral compression fractures, and spinal metastases. Tang's most influential work, a 2022 comparative study on TiRobot-assisted versus fluoroscopy-guided percutaneous pedicle screw placement (25 citations), helped fill a critical gap in the literature by directly evaluating robotic precision and safety in minimally invasive settings. Subsequent studies extended this inquiry to kyphoplasty for multi-segmental osteoporotic fractures and percutaneous fixation for advanced thoracolumbar metastases, consistently demonstrating that robotic guidance reduces radiation exposure, blood loss, and hospital stay. More recent 2025 publications continue to refine the evidence base for robot-assisted interventions in burst fractures and severe osteoporotic disease. With a growing citation record totaling over 55 citations, Tang's research offers clinicians an evidence-driven roadmap for integrating robotics into modern spinal practice, making their work essential reading for surgeons and trainees navigating this rapidly evolving field.

Research Focus

Key Achievements

5
H-Index
6
Papers
55
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: 2020 (2 Papers)
🤝 Key Collaborators: 20
🏛 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 · 14 days ago