Yukihiro Mori
Papers
1
Total Citations
1
H-Index
1
About
Yukihiro Mori is a Japanese surgical researcher whose work focuses on refining robot-assisted colorectal surgery, particularly through predictive analytics and operative efficiency. His most cited study, "Development of a predictive score for prolonged pelvic operation time in robot-assisted low anterior resection," introduces a novel scoring system that helps surgeons anticipate challenging cases, thereby improving preoperative planning and resource allocation. This single-center retrospective analysis, published in 2025, has already garnered attention for its practical utility in enhancing surgical outcomes. Mori’s research addresses a critical gap in minimally invasive surgery—namely, the variability in operative times that can affect patient safety and hospital workflows. By identifying key patient and tumor factors that predict prolonged procedures, his work empowers surgeons to tailor their approach, reduce complications, and optimize operating room use. Though early in his career, Mori’s contributions are significant for their translational impact, bridging data-driven risk assessment with real-world surgical decision-making. His findings are especially relevant for institutions adopting robotic platforms, offering a framework to improve efficiency and patient care in pelvic surgery.
Research Focus
Key Achievements
Top Papers
- 1