Papers
6
Total Citations
559
H-Index
5
About
Xiaobang Hu is a pioneering spine surgeon whose research has fundamentally advanced the field of robotic-assisted spine surgery. His work focuses on improving the accuracy, safety, and predictability of complex spinal instrumentation, particularly through the integration of robotic guidance systems. Dr. Hu’s landmark study, “Robotic-assisted pedicle screw placement: lessons learned from the first 102 patients” (242 citations), provided crucial early evidence on the clinical viability of this technology. He further defined the field with his seminal investigation into the “learning curve” for this technique (188 citations), establishing the benchmarks for surgical training and adoption. His contributions extend to complex pelvic reconstruction, as demonstrated in his work on robotic-guided S2 alar-iliac screws for sacro-pelvic fixation, and to oncology, where he explored robotic assistance for spine tumor surgeries. By systematically validating the predictive accuracy of pre-operative planning software paired with robotic guidance, Dr. Hu has helped transform spinal surgery from a purely manual art into a more precise, data-driven discipline, setting new standards for patient outcomes and surgical reproducibility.
Research Focus
Key Achievements
Top Papers
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- 4Robotic assisted surgeries for the treatment of spine tumors49 citations · 2015
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