Joshua Zhang
Papers
2
Total Citations
40
H-Index
2
About
Joshua Zhang is a rising leader in the field of computer-assisted spine surgery, with a focused research program on enhancing the precision and safety of pedicle screw placement. His major contributions center on the comparative effectiveness of robotic and navigated surgical systems. In a landmark 2023 study analyzing over 1,600 patients, Zhang demonstrated that robot-navigated screw insertion significantly reduces intraoperative blood loss and shortens hospital stays compared to traditional techniques—a finding with direct implications for patient recovery and healthcare costs. He further refined this work in 2024 with a level-specific accuracy assessment of 1,210 screws, providing granular data on the performance of 3D navigation versus robotic arm guidance in lumbar surgery. With over 40 citations to his most-cited papers, Zhang’s evidence-based approach is helping to define best practices for minimally invasive spinal instrumentation. His research not only advances surgical technology but also offers practical benchmarks for improving patient outcomes in orthopedic and neurosurgical settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2