Zude Liu

Renji Hospital

Papers

1

Total Citations

13

H-Index

1

About

Zude Liu is a rising figure in the field of spinal surgery, with a focused research interest in the integration of robotic technology into orthopedic practice. His most cited work, a 2023 comparative cohort study, meticulously examines the learning curve of junior surgeons performing robot-assisted pedicle screw placement. This study, which has garnered 13 citations, provides critical insights into the safety and efficacy of adopting robotic assistance in surgical training, demonstrating that even less experienced surgeons can achieve high accuracy with proper guidance. Liu’s contribution is significant for establishing evidence-based benchmarks for surgical education, helping to bridge the gap between novice and expert performance in a high-stakes procedure. By quantifying the number of cases needed to reach proficiency, his research directly informs residency curricula and hospital protocols, ultimately aiming to improve patient outcomes and reduce complication rates. This work marks him as a key contributor to the growing literature on robotic spine surgery, highlighting his commitment to advancing surgical precision and training methodologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve of junior surgeons in robot-assisted pedicle screw placement: a comparative cohort study
13 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Renji Hospital

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago