Keng-Ming Lee
Papers
2
Total Citations
10
H-Index
2
About
Keng-Ming Lee is a pioneering researcher in robotic-assisted minimally invasive surgery (RMIS), with a focused expertise in developing intuitive, surgeon-controlled systems that eliminate the need for manual camera assistance. His primary research areas include flexible laparoscopy, multi-degree-of-freedom (DoF) robotic systems, and position-retrieving mechanisms for enhanced surgical precision. Lee’s major contributions center on the design and refinement of the Robotic Flexible Laparoscope System (RFLS), which addresses a critical bottleneck in current flexible endoscopy: the steep learning curve and reliance on experienced assistants. By introducing a position-retrieving system, his 2015 work enables surgeons to intuitively manipulate the endoscope without extensive training, directly improving workflow in the operating room. His 2016 study further advances this concept by developing a multi-DoF laparoscopic system that allows surgeons to maneuver the scope with greater accuracy and stability, reducing communication errors between surgeon and assistant. While his citation counts (6 and 4, respectively) reflect a specialized, emerging field, these papers represent foundational steps toward autonomous, surgeon-centric robotic tools. Lee’s work is particularly notable for its practical, problem-driven approach—targeting real-world surgical inefficiencies—and holds promise for democratizing advanced laparoscopic techniques in resource-constrained settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2