Hyung Cheol Kim

Yonsei University

Papers

3

Total Citations

21

H-Index

3

About

Hyung Cheol Kim is a leading researcher in the field of robotic spine surgery, with a primary focus on enhancing the precision and safety of pedicle screw fixation. His work centers on the development and validation of novel C‑arm‑based planning robotic systems, which aim to improve surgical accuracy while reducing reliance on traditional freehand or fluoroscopy‑guided techniques. Kim’s major contributions include pioneering quantitative accuracy assessment methodologies—first in a porcine model (2020, 10 citations) and later in a cadaver model (2022, 5 citations)—that allow for rigorous comparison between planned and actual screw placement. In a landmark 2024 propensity score‑matched cohort study (6 citations), he demonstrated the noninferiority of robot‑assisted pedicle screw fixation compared to conventional methods, providing strong clinical evidence for the adoption of robotic systems in lumbar degenerative disease. Collectively, his work has garnered significant attention, with over 20 citations across his most influential papers, and has helped establish a reproducible framework for evaluating surgical robotics. Kim’s research is instrumental in bridging the gap between preclinical innovation and clinical practice, offering a path toward safer, more accurate spinal surgery.

Research Focus

Key Achievements

3
H-Index
3
Papers
21
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Novel C‐arm based planning spine surgery robot proved in a porcine model and quantitative accuracy assessment methodology
10 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Yonsei University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago