Namkug Kim
Papers
6
Total Citations
109
H-Index
4
About
Dr. Namkug Kim is a leading engineer and researcher at the forefront of medical robotics and artificial intelligence in surgery. His work centers on developing intelligent, automated systems to enhance precision in interventional radiology and minimally invasive procedures. A major contribution is the validation of a CT-guided robotic system for biopsy and radiofrequency ablation, demonstrating its accuracy on abdominal phantoms—a foundational step toward safer, robot-assisted interventions (42 citations). Dr. Kim has also pioneered the application of deep learning in surgery, creating models for automatic tip detection of instruments in biportal endoscopic spine surgery (37 citations) and for recognizing surgical tools and anatomical regions during mastoidectomy (15 citations). His innovative vision extends to 4D printing, where he has developed patient-specific, self-expandable surgical guides for laparoscopic partial nephrectomy, and to robotic breast surgery, where he has built a deep learning model to guide dissection. With a forward-looking perspective on digitization in radiology, Dr. Kim’s work bridges engineering and clinical practice, driving the next generation of quantitative, robot-assisted medicine.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6