Yudai Nakabayashi

Kyoto Prefectural University of Medicine

Papers

Total Citations

H-Index

About

Yudai Nakabayashi is a surgical researcher whose work centers on the intersection of minimally invasive gastrectomy and postoperative complication prediction. His primary focus is the intraoperative assessment of pancreatic fistula risk during laparoscopic and robotic gastrectomy, a critical area for improving patient outcomes in gastric cancer surgery. His most-cited paper, "Risk assessment for pancreatic fistula by intraoperative image analysis of laparoscopic and robotic gastrectomy" (2024), introduces a novel, real-time imaging approach to identify high-risk anatomical features before complications arise, potentially reducing morbidity. This work demonstrates his commitment to translating surgical visual data into actionable risk stratification tools. While still early in his career, with his key paper accumulating 3 citations, Nakabayashi’s research represents a promising step toward precision surgery, where intraoperative analytics guide decision-making. His contributions are particularly notable for bridging the gap between traditional surgical judgment and data-driven, image-based risk models, a frontier that holds significant potential for enhancing safety in complex gastrointestinal procedures.