Tsutomu Kumamoto
Papers
5
Total Citations
108
H-Index
4
About
Dr. Tsutomu Kumamoto is a pioneering surgeon-researcher at the forefront of robotic and AI-assisted gastrointestinal surgery. His work centers on two transformative areas: defining safe, anatomically precise dissection planes through artificial intelligence, and evaluating the clinical advantages of next-generation robotic platforms. His landmark 2021 study, cited 78 times, introduced a deep-learning model to automatically segment loose connective tissue fibers during robot-assisted gastrectomy—a breakthrough that promises to augment a surgeon’s cognitive skills by predicting anatomical structures in real time. Beyond AI, Dr. Kumamoto has been instrumental in assessing the short-term outcomes and ergonomic benefits of the hinotori™ surgical robot system compared to the da Vinci system, demonstrating its potential to reduce complications such as subcutaneous emphysema after colorectal surgery. He has also advanced complex reconstructive techniques, including robot-assisted valvuloplastic esophagogastrostomy using a knifeless linear stapler, enhancing reflux prevention after proximal gastrectomy. With a growing body of work that bridges machine learning and robotic precision, Dr. Kumamoto is shaping the future of minimally invasive oncologic surgery.
Research Focus
Key Achievements
Top Papers
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