Papers
1
Total Citations
3
H-Index
1
About
Tomoko Kurita is a pioneering surgeon whose work focuses on optimizing robotic-assisted laparoscopic hysterectomy, a field where precision meets efficiency. Her key research addresses the critical bottleneck of prolonged operation and anesthesia time in robotic surgery, stemming from complex procedures like port placement, docking, and roll-in. In her most-cited paper, "Reducing the Time Before the Console in Robotic-Assisted Laparoscopic Hysterectomy" (2024, 3 citations), Kurita systematically analyzes five conditions that contribute to delays, offering evidence-based strategies to streamline the pre-console phase. This work directly impacts patient safety by minimizing anesthesia exposure and improving surgical workflow. While her citation count is early-stage, her contributions are notable for tackling a practical, high-stakes challenge in minimally invasive gynecology. Kurita’s research bridges the gap between robotic technology’s advanced capabilities—magnified vision, stereoscopic views, and multi-joint forceps—and real-world clinical efficiency. Her findings are poised to influence training protocols and operative standards, making her a rising voice in surgical innovation. For students and researchers, Kurita exemplifies how targeted problem-solving in niche surgical domains can drive meaningful improvements in patient outcomes and operating room dynamics.
Research Focus
Key Achievements
Top Papers
- 1