Papers
4
Total Citations
33
H-Index
3
About
Jun Seok Lee is a pioneering spine surgeon and researcher whose work is reshaping the landscape of minimally invasive spinal surgery through the integration of robotics and artificial intelligence. His primary research areas focus on robotic-assisted spine surgery (RASS), pedicle screw accuracy, and the training of next-generation spine surgeons. Lee’s major contributions include the development and validation of a novel three-dimensional quantitative assessment system for evaluating pedicle screw placement, which has set a new standard for precision in robotic-guided procedures. His multicenter study on this system, with 12 citations, demonstrated significantly improved screw accuracy compared to traditional methods. Additionally, his single-center analysis of 495 robotic-assisted procedures, cited 11 times, identified key risk factors for screw malposition and characterized the learning curve for surgeons adopting this technology. Lee has also been instrumental in advancing surgical education, as shown in his 2024 study on resident training, which has garnered 9 citations for its insights into the role of robotics in surgical pedagogy. With a growing citation impact and a focus on translating technological innovation into clinical practice, Jun Seok Lee stands at the forefront of the robotic revolution in spine surgery.
Research Focus
Key Achievements
Top Papers
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