Yongyeob Cha
Papers
3
Total Citations
27
H-Index
3
About
Yongyeob Cha is a leading researcher in the field of robotic spine surgery, with a primary focus on enhancing the precision and safety of pedicle screw placement. His work centers on the development and validation of novel C‑arm‑based planning robotic systems, which aim to improve surgical outcomes through advanced navigation and quantitative accuracy assessment. Cha’s major contributions include pioneering a three‑dimensional quantitative measurement system that objectively evaluates pedicle screw accuracy, moving beyond traditional subjective grading. His most cited study (2023, 12 citations) demonstrated the clinical feasibility of a new robotic system in a multicenter trial, while his preclinical work in porcine (2020, 10 citations) and cadaver models (2022, 5 citations) provided foundational evidence for the system’s reliability. Notably, Cha’s research introduces a rigorous methodology for comparing planned versus actual screw trajectories, setting a new standard for accuracy assessment in spinal robotics. His cumulative work, though early in citation impact, represents a critical step toward integrating real‑time planning and robotic guidance in spine surgery, with potential to reduce complications and improve patient outcomes.
Research Focus
Key Achievements
Top Papers
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