Donggi Woo
Papers
2
Total Citations
17
H-Index
2
About
Donggi Woo is a leading figure in the advancement of robotic-assisted spine surgery, with a primary research focus on the quantitative assessment of surgical accuracy and the clinical translation of novel robotic systems. His major contributions include pioneering a three-dimensional quantitative measurement system to evaluate pedicle screw placement, moving beyond traditional qualitative grading to provide objective, high-precision data on screw deviation. This work is critical for validating the safety and efficacy of emerging surgical technologies. His most cited study, a 2023 multicenter clinical trial, demonstrated the high accuracy of a new robotic system in percutaneous pedicle screw fixation, garnering 12 citations and establishing a new benchmark for clinical feasibility. Complementing this, his 2022 cadaveric study provided foundational preclinical evidence for a navigated robotic platform, earning 5 citations. By developing robust, quantitative methodologies for accuracy assessment, Woo is directly shaping the standards for evaluating and implementing robotic guidance in spinal surgery, making his work essential for researchers and clinicians seeking to improve patient outcomes through precision technology.
Research Focus
Key Achievements
Top Papers
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