Manabu Inoue
Papers
1
Total Citations
22
H-Index
1
About
Manabu Inoue is a leading figure in the advancement of minimally invasive colorectal surgery, with a particular focus on the technical mastery and clinical application of robotic-assisted techniques. His research rigorously evaluates surgical learning curves and procedural outcomes, providing critical data that helps standardize training for complex rectal procedures. In his most-cited work, "Evaluation of the learning curve for robot-assisted rectal surgery using the cumulative sum method" (2022, 22 citations), Inoue employs sophisticated statistical modeling to define the precise number of cases required for surgeons to achieve proficiency, directly addressing a key barrier to wider adoption of robotic surgery. This contribution not only enhances patient safety by establishing evidence-based benchmarks but also offers a clear roadmap for surgical educators and trainees. Through his methodical approach to quantifying surgical skill acquisition, Inoue is helping to shape the future of colorectal surgery, ensuring that technological innovation is matched by rigorous, data-driven training standards.
Research Focus
Key Achievements
Top Papers
- 1