Sangman Park

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About

Sangman Park is a leading researcher in the field of robotic-assisted spinal surgery, with a primary focus on enhancing surgical precision and patient safety through innovative navigation technologies. His major contributions center on the development and quantitative validation of novel C-arm-based planning systems for robotic spinal procedures. In his seminal 2022 study, Park and his team emulated a clinical environment using a whole-body cadaver model to rigorously analyze the accuracy of pedicle screw insertion from T7 to L5. By employing a quantitative accuracy assessment methodology, he demonstrated how navigated robotic systems can significantly improve screw placement precision compared to traditional freehand techniques. This work, which has garnered 5 citations, provides a critical preclinical foundation for translating robotic guidance into routine surgical practice. Park’s research directly addresses one of the most challenging aspects of spinal surgery—minimizing the risk of neurovascular injury while maximizing biomechanical stability. His meticulous approach to accuracy measurement and his commitment to bridging the gap between engineering and clinical application mark him as an influential figure in the advancement of minimally invasive, robotically assisted orthopedics.