Hirofumi Kawakubo
Papers
13
Total Citations
149
H-Index
5
About
Hirofumi Kawakubo is a pioneering surgical researcher whose work sits at the intersection of robotic surgery and artificial intelligence, with a particular focus on minimally invasive esophagectomy and gastrectomy. His research has fundamentally advanced how AI can be applied in the operating room — not merely as an observational tool, but as an active contributor to surgical safety and training. Kawakubo's most influential contribution, his 2022 paper on automated surgical-phase recognition for robot-assisted esophagectomy, has accumulated 60 citations and established a foundation for using AI to objectively assess surgical workflows. Building on this, he has extended AI applications to evaluating surgical complexity and skill in robotic distal gastrectomy, addressing a critical need given how variation in surgical expertise directly affects patient outcomes. Particularly notable is his work on AI-assisted recognition of the recurrent laryngeal nerve — a structure whose inadvertent injury causes significant postoperative morbidity — including a proof-of-concept study detecting dangerous traction forces in real time. With publications spanning esophageal cancer surgery, prostatectomy, and cholecystectomy, Kawakubo demonstrates a broad commitment to making robotic surgery smarter, safer, and more measurable across specialties, establishing him as a leading voice in AI-driven surgical innovation.
Research Focus
Key Achievements
Top Papers
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