Papers
16
Total Citations
549
H-Index
10
About
Paul Park is a distinguished spinal neurosurgeon and researcher whose work has fundamentally shaped the understanding and adoption of robotic technology in spine surgery. His research portfolio centers on surgical robotics, minimally invasive spine surgery, and computer-assisted navigation, with a particular focus on optimizing screw placement accuracy and patient outcomes. Park's 2017 systematic review of robotic applications in spinal instrumentation has become a foundational reference in the field, accumulating over 210 citations and establishing the evidence base for a rapidly evolving surgical frontier. His comparative studies — including a landmark retrospective cohort analysis examining robotic versus freehand S2 alar-iliac screw placement — have provided surgeons with critical data for clinical decision-making. Notably, Park was among the early adopters of da Vinci robotic systems for complex paraspinal tumor resection, demonstrating the technology's versatility beyond instrumentation. His multicenter investigations, analyzing thousands of robot-assisted screws across diverse platforms and patient populations, reflect a commitment to rigorous, generalizable evidence. With nearly 530 cumulative citations across his most-cited works, Park stands as one of the leading voices guiding the integration of enabling technologies into modern spine surgery.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotic-Assisted Spinal Surgery66 citations · 2019
- 3Human versus Robot65 citations · 2018
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- 10Present and Future Spinal Robotic and Enabling Technologies18 citations · 2021