Yuki Mitani
Papers
1
Total Citations
2
H-Index
1
About
Yuki Mitani is a pioneering researcher in robotic surgical training and human–machine interface assessment, with a focus on quantifying surgeon adaptability to emerging robotic platforms. Their most-cited work, a 2024 study published in *Surgical Endoscopy*, evaluates first-touch skills using the hinotori surgical robot system and its simulator, hi-Sim. This research provides critical insights into how surgeons and novices adapt to robotic manipulation, comparing experienced robotic surgeons with laparoscopic surgeons to identify baseline skill transfer and training needs. With 2 citations already, this foundational study is gaining traction as the hinotori system enters broader clinical use. Mitani’s contributions are particularly notable for bridging the gap between simulator-based training and real-world robotic surgery, offering evidence-based benchmarks for credentialing. Their work directly addresses the underexplored domain of first-touch adaptability, making it essential reading for surgical educators, trainees, and developers of next-generation robotic platforms. By establishing objective metrics for skill assessment, Mitani is shaping the future of safe, efficient robotic surgery training.
Research Focus
Key Achievements
Top Papers
- 1