Keng‐Liang Kuo
Papers
2
Total Citations
81
H-Index
2
About
Dr. Keng-Liang Kuo is a leading figure in robotic spine surgery, whose work has fundamentally advanced the precision and safety of spinal instrumentation. His primary research focuses on the intraoperative accuracy of robotic systems, particularly the Renaissance miniature robot, for pedicle screw placement. Dr. Kuo’s major contribution lies in developing a novel secondary registration method that dramatically improves screw placement accuracy, as detailed in his highly cited 2016 study (76 citations). This work established a new intraoperative classification system for evaluating robotic performance, directly addressing a critical need in spinal deformity correction and stabilization. Beyond technical innovation, Dr. Kuo has also pioneered the study of human factors in robotic surgery. His 2022 investigation into the learning curves of spinal robotic screw placement, using the power law of practice, revealed the essential roles of teamwork and unmet training needs—a landmark insight for surgical education. By quantifying how surgical teams master this complex technology, his research provides a roadmap for safer, more efficient adoption of robotics in the operating room, solidifying his reputation as a bridge between engineering precision and clinical practice.
Research Focus
Key Achievements
Top Papers
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