Yurie Sekigami
Papers
1
Total Citations
5
H-Index
1
About
Yurie Sekigami is a surgical researcher whose work focuses on advancing minimally invasive techniques, particularly through the adoption and refinement of single-site robotic surgery. Her most-cited study, "Learning Curve of Single-site Robotic Cholecystectomy: A Cumulative Sum Analysis" (2023), makes a pivotal contribution by systematically defining the proficiency threshold for this emerging procedure. Using cumulative sum analysis, Sekigami provides surgeons with a data-driven roadmap to safely navigate the initial learning phase, addressing a critical barrier to wider clinical adoption. This work directly impacts patient safety and surgical training, offering clear benchmarks for competency in a field where minimizing incisions is paramount. With 5 citations in a short time, her research is gaining traction among peers seeking evidence-based guidance for integrating new robotic platforms. Sekigami’s focus on objective performance metrics and procedural efficiency positions her as a key voice in the evolution of single-site surgery, helping to bridge the gap between technological innovation and reproducible clinical excellence.
Research Focus
Key Achievements
Top Papers
- 1