Shunsuke Kikuchi
Papers
2
Total Citations
4
H-Index
2
About
Shunsuke Kikuchi is a researcher at the forefront of surgical data science and precision agriculture robotics. His work is defined by two distinct but equally impactful domains: advancing computer-assisted intervention in endoscopy and developing autonomous systems for sustainable farming. Kikuchi’s major contribution to medical technology is his leadership in the PhaKIR 2024 challenge, a landmark comparative validation study that established rigorous benchmarks for surgical phase recognition, instrument keypoint estimation, and instance segmentation in endoscopic video. This work provides the foundational metrics needed to train AI systems for real-time surgical feedback, directly improving patient safety and operating room efficiency. In parallel, Kikuchi addresses critical labor shortages in Japanese agriculture by engineering an electric vehicle (EV) crawler-type soil sample robot that leverages GNSS information for autonomous navigation. This innovation tackles the dual crises of an aging agricultural workforce and rising fertilizer costs by enabling precise, data-driven soil management. With his PhaKIR study already cited in the surgical AI community and his agricultural robot gaining traction in precision farming circles, Kikuchi exemplifies a versatile engineer whose contributions bridge high-stakes clinical environments and the pressing needs of sustainable food production.
Research Focus
Key Achievements
Top Papers
- 1
- 2Research on EV Crawler-Type Soil Sample Robot Using GNSS Information2 citations · 2025