Sungteac Hwang
Papers
3
Total Citations
27
H-Index
3
About
Sungteac Hwang is a leading researcher in the field of robotic spine surgery, with a primary focus on enhancing the precision and safety of pedicle screw placement. His work centers on the development and validation of novel C‑arm‑based planning robotic systems, which integrate navigation technology to improve surgical outcomes. Hwang’s major contributions include pioneering a three‑dimensional quantitative assessment methodology that allows for objective, millimeter‑level evaluation of screw accuracy, moving beyond traditional qualitative grading. This framework has been applied across multiple study types—including multicenter clinical trials, porcine models, and cadaveric simulations—demonstrating the system’s clinical feasibility and robustness. His most cited paper (2023, 12 citations) reports on the first multicenter clinical evaluation of a new robotic system, while his foundational work in a porcine model (2020, 10 citations) established the accuracy assessment protocol. Collectively, his publications have garnered over 27 citations, reflecting growing interest in quantitative validation of robotic guidance. Hwang’s research is notable for bridging preclinical development and clinical translation, offering a rigorous, reproducible standard for assessing robotic performance in spine surgery.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3