Papers
6
Total Citations
313
H-Index
6
About
Alex Zhu has established himself as a pioneering researcher at the forefront of robotic spine surgery, with a particular focus on image-guided surgical robotics, pedicle screw accuracy, and minimally invasive spinal techniques. His work has been instrumental in evaluating and advancing the ExcelsiusGPS® robotic system, one of the first FDA-approved real-time image-guided spinal robots in the United States. Zhu's early investigations into pedicle screw trajectory accuracy and deviation from pre-planned paths (75 citations) laid critical groundwork for understanding robotic precision in clinical settings, while his comparative studies of robot-assisted versus freehand instrumentation in lumbar fusion (66 citations) have provided surgeons with compelling evidence for adopting robotic platforms. His development of a novel three-dimensional grading system for assessing screw placement reliability (43 citations) represents a meaningful methodological contribution to the field. Collectively, his publications — spanning technique descriptions, safety evaluations, and broader reviews of emerging spinal robotic technologies — have accumulated over 313 citations, reflecting their substantial influence. Zhu's body of work continues to shape how surgical teams adopt, assess, and refine robotic tools to improve patient outcomes and surgical training.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Technique: open lumbar decompression and fusion with the Excelsius GPS robot48 citations · 2018
- 4New spinal robotic technologies44 citations · 2019
- 5
- 6First spine surgery utilizing real-time image-guided robotic assistance37 citations · 2019