Yasir Khan
Papers
1
Total Citations
15
H-Index
1
About
Yasir Khan is a leading figure in the field of spinal neurosurgery, with a focused expertise in the accuracy and safety of pedicle screw placement. His work critically addresses a major challenge in thoracolumbar and sacral spinal instrumentation: the risk of screw malpositioning. Khan’s most cited research, a 2017 pilot study, provides a foundational comparison of robotically guided screw insertion against traditional fluoroscopy-guided and CT stealth-guided techniques. By systematically evaluating accuracy across these modalities, his contributions have helped establish a benchmark for robotic assistance in spinal surgery, highlighting its potential to reduce complications and improve patient outcomes. With 15 citations, this study has informed subsequent clinical protocols and sparked further investigation into robotic spinal navigation. Khan’s work is essential reading for surgeons and researchers seeking to understand the practical advantages of robotic systems in enhancing surgical precision, making him a notable voice in the ongoing evolution of minimally invasive spinal techniques.
Research Focus
Key Achievements
Top Papers
- 1