Seong Yi
Papers
12
Total Citations
205
H-Index
8
About
Seong Yi stands at the forefront of robotic spine surgery, pioneering the integration of advanced surgical systems into spinal and presacral procedures over more than a decade of groundbreaking research. His early landmark work demonstrated the feasibility of robot-assisted anterior lumbar interbody fusion (ALIF) using the da Vinci Surgical System, both in swine models and clinical retroperitoneal approaches — studies that collectively garnered nearly 100 citations and helped establish the technical foundation for robotic spinal intervention. Yi further expanded the field by evaluating robotic resection of challenging presacral tumors, providing critical comparative analysis against conventional open approaches in a widely cited 2013 case series. His continued contributions include multicenter assessments of pedicle screw accuracy using novel three-dimensional quantitative measurement systems, cadaveric validation of robotic cervical pedicle screw fixation, and systematic learning curve analyses from a substantial single-center Korean cohort. More recently, Yi has addressed the future of the field directly, examining AI-robotics integration and the role of robotic systems in training the next generation of spine surgeons. His body of work reflects a sustained, visionary commitment to improving surgical precision, patient safety, and the global adoption of robotic spine surgery.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Robotic Resection of Huge Presacral Tumors34 citations · 2013
- 4
- 5
- 6
- 7
- 8
- 9Current and Future of Spinal Robot Surgery7 citations · 2010
- 10