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About

Can Cao is a spine surgery researcher whose work sits at the cutting edge of robotic-assisted surgical technology and spinal instrumentation. Specializing in the accuracy, safety, and optimization of pedicle screw placement in thoracolumbar spine surgery, Cao has made meaningful contributions to a field where precision is paramount to patient outcomes. His most influential work examines whether robot-assisted screw placement can be performed reliably under regional rather than general anesthesia — a clinically significant question with implications for patient safety, recovery, and resource utilization. His 2021 retrospective cohort study on this topic has garnered 22 citations, reflecting strong interest from the surgical community. Complementing this, his systematic review and meta-analysis comparing robot-assisted and conventional fluoroscopy-guided pedicle screw placement — cited 20 times — provides surgeons with rigorous, evidence-based guidance on screw positioning accuracy, complication rates, revision risk, and radiation exposure. Together, Cao's publications establish him as a focused and productive contributor to the evolving literature on surgical robotics in spine care, helping to define best practices as robotic platforms become increasingly integrated into modern orthopedic and neurosurgical workflows.