Tasuku Furube
Keio University Hospital, Keio University, Saitama Medical University
Papers
7
Total Citations
46
H-Index
4
About
Tasuku Furube is an emerging surgical researcher at the forefront of applying artificial intelligence to robotic and minimally invasive surgery, with a particular focus on esophageal and gastric cancer procedures. His work centers on two interconnected domains: AI-assisted anatomical recognition during complex operations and objective assessment of surgical expertise through machine learning. Furube's most impactful contribution to date involves the development and validation of AI models capable of identifying the recurrent laryngeal nerve (RLN) during robot-assisted minimally invasive esophagectomy—a landmark achievement that has garnered 23 citations since 2024. Building on this, he pioneered real-time AI detection of excessive traction on the RLN, offering a promising approach to preventing devastating postoperative nerve palsy before injury occurs. Beyond nerve recognition, Furube has advanced AI-driven surgical skill evaluation for robotic distal gastrectomy, and his multicenter validation studies demonstrate a rigorous commitment to generalizable, clinically deployable tools. His comparative clinical work also highlights the benefits of robotic approaches for obese patients undergoing gastric cancer surgery. With a rapidly growing citation record across multiple high-impact studies, Furube represents a new generation of surgeon-scientists reshaping the future of intelligent, data-driven operative care.
Research Focus
Key Achievements
Top Papers
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