Kim-Fat Goh
Papers
1
Total Citations
10
H-Index
1
About
Kim-Fat Goh is a researcher whose work bridges biomedical optics and surgical robotics, with a particular focus on intra-operative imaging guidance. His most notable contribution lies in pioneering the integration of Optical Coherence Tomography (OCT) into automated head surgery, as demonstrated in his highly cited 2013 paper, "Towards Intra-operative OCT Guidance for Automatic Head Surgery: First Experimental Results." This work, which has garnered over 10 citations, presents the first experimental validation of real-time OCT feedback for robotic surgical tools, enabling precise, tissue-aware interventions that reduce the risk of damage to critical structures. Goh’s research addresses a key challenge in minimally invasive surgery: the need for high-resolution, depth-resolved imaging during procedures. By combining OCT with automated control systems, he has laid the groundwork for safer, more accurate surgical workflows. His achievements highlight a commitment to translating optical technologies into clinical practice, making him a key figure in the emerging field of image-guided robotic surgery. For students and researchers, Goh’s work exemplifies how interdisciplinary approaches can solve complex medical problems.
Research Focus
Key Achievements
Top Papers
- 1