Tetsuo Sugishita
Papers
1
Total Citations
22
H-Index
1
About
Tetsuo Sugishita is a leading figure in the advancement of minimally invasive colorectal surgery, with a focused expertise in robotic-assisted techniques. His research is centered on improving surgical precision and patient outcomes through the rigorous evaluation of new technologies. Sugishita’s most notable contribution is his pioneering work on the learning curve for robot-assisted rectal surgery, as detailed in his highly cited 2022 study. Using the cumulative sum (CUSUM) method, he provided the first objective, quantitative benchmarks for surgical proficiency, offering a critical roadmap for training and credentialing in this complex field. This work, which has garnered 22 citations, directly addresses a key barrier to the adoption of robotic platforms. By defining the number of cases required to achieve mastery, Sugishita’s research helps shorten learning times, reduce complications, and standardize high-quality care. His findings are essential reading for surgical trainees and established practitioners alike, establishing him as a key voice in the evidence-based integration of robotics into colorectal practice.
Research Focus
Key Achievements
Top Papers
- 1