Papers
3
Total Citations
31
H-Index
2
About
I-Chang Su is a leading figure in the advancement of robotic and navigational technologies for minimally invasive neurosurgery and spinal procedures. His research focuses on optimizing surgical precision and safety through the integration of robotic stereotactic assistance (ROSA) and intraoperative navigation systems. Dr. Su’s major contributions include characterizing the institutional learning curve for the ROSA ONE Spine system in transpedicular screw placement, a study that has garnered 18 citations and provides a critical roadmap for surgical teams adopting this technology. He has also pioneered the application of robotic assistance for spontaneous intracerebral hemorrhage (ICH) aspiration and thrombolytic catheter placement, a high-impact work with 11 citations that addresses a condition with 40% mortality. Additionally, his investigation into the accuracy and radiation exposure of pedicle screw implantation using Zeego and Brainlab navigation in a hybrid operating room demonstrates his commitment to both patient outcomes and occupational safety. Through these innovative studies, Dr. Su is shaping the future of precision-guided neurosurgery, making complex procedures safer and more reproducible.
Research Focus
Key Achievements
Top Papers
- 1Learning Curve of ROSA ONE Spine System for Transpedicular Screw Placement18 citations · 2022
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