Long Zhang
Papers
1
Total Citations
22
H-Index
1
About
Long Zhang is a spine surgery researcher whose work sits at the intersection of surgical robotics, minimally invasive techniques, and anesthesia protocols. His most recognized contribution examines the accuracy of robot-assisted percutaneous pedicle screw placement performed under regional anesthesia — a meaningful departure from the conventional reliance on general anesthesia for such procedures. This 2021 study, which has garnered 22 citations, challenges longstanding assumptions about patient immobility requirements during robotic spine surgery by benchmarking robotic precision against traditional fluoroscopy-guided techniques. By demonstrating the viability of regional anesthesia in this context, Zhang's research opens the door to reduced anesthetic risks, shorter recovery times, and broader patient eligibility for minimally invasive spinal interventions. His work is particularly relevant to spine surgeons, anesthesiologists, and surgical robotics researchers seeking to refine perioperative protocols and improve patient outcomes. For students and clinicians exploring the evolving landscape of robotic-assisted orthopedic surgery, Zhang's scholarship represents a compelling example of how questioning established clinical conventions can yield meaningful advances in both safety and surgical precision.
Research Focus
Key Achievements
Top Papers
- 1