Kaito Nanchi

Papers

Total Citations

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About

Dr. Kaito Nanchi is a pioneering researcher in robotic surgical training and human-machine interface assessment, whose work bridges the gap between surgical expertise and technological adaptability. His most cited study, "Assessment of first-touch skills in robotic surgical training using hi-Sim and the hinotori surgical robot system among surgeons and novices" (2024), has garnered 2 citations and represents a foundational contribution to understanding how surgeons and novices alike adapt to robotic manipulation. In this work, Dr. Nanchi evaluated first-touch robotic training skills using the hinotori surgical robot system and its hi-Sim simulator, comparing 11 robotic surgeons with 13 laparoscopic surgeons to assess baseline adaptability. His research addresses a critical, underexplored area in surgical education: the initial cognitive and motor transition from traditional to robotic platforms. By quantifying performance differences between experienced robotic surgeons and those new to the system, Dr. Nanchi provides actionable insights for designing more effective training curricula. His findings have implications for reducing the learning curve in robotic surgery, ultimately enhancing patient safety and surgical outcomes. Dr. Nanchi’s work positions him at the forefront of surgical simulation research, offering a data-driven pathway to optimize how surgeons acquire first-touch skills in emerging robotic technologies.