Saya Koh
Papers
1
Total Citations
20
H-Index
1
About
Saya Koh is a leading figure in the field of stereotactic electroencephalography (SEEG), with a primary focus on advancing the precision and safety of robot-assisted neurosurgical techniques. Her major contribution lies in demonstrating the superior accuracy of robot-assisted frameless SEEG over traditional neuronavigation-guided manual adjustments. In her highly cited 2022 work, Koh and her team provided compelling evidence that robotic systems, specifically the Stealth Autoguide, can significantly enhance electrode placement accuracy, a critical factor for successful epilepsy surgery planning and functional mapping. This research has quickly garnered 20 citations, highlighting its immediate impact on clinical practice. By systematically comparing robotic and manual methods, Koh has helped establish a new standard for minimally invasive brain monitoring, reducing procedural variability and improving patient outcomes. Her work is instrumental in bridging the gap between advanced robotic technology and routine neurosurgical application, making her a key contributor to the evolution of precision stereotaxy.
Research Focus
Key Achievements
Top Papers
- 1