Papers
5
Total Citations
84
H-Index
3
About
Takeo Kosaka is a pioneering surgeon whose research bridges the precision of minimally invasive oncology with the promise of artificial intelligence. His work centers on refining surgical techniques for gastric and prostate cancers, with a focus on improving patient outcomes and quality of life. Kosaka’s most influential contribution is his 2019 study on precision surgical approaches with lymph-node dissection in early gastric cancer, which has garnered 51 citations and established a framework for identifying node-negative patients preoperatively, thereby enabling safer, less invasive endoscopic resections. He has also advanced local resection methods for gastric cancer, exploring laparoscopic and endoscopic techniques to minimize postoperative symptoms. In urologic oncology, Kosaka investigates predictors of urinary function recovery after laparoscopic and robot-assisted radical prostatectomy, and his recent 2025 study on AI-based surgical phase recognition—validated across multiple surgeons—represents a groundbreaking step toward automated, real-time guidance in robotic surgery. With additional work on prostatic shape and surgical difficulty, Kosaka’s research consistently integrates clinical data with technological innovation, making him a key figure in the evolution of precision surgery and AI-assisted care.
Research Focus
Key Achievements
Top Papers
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- 2Local resection of the stomach for gastric cancer21 citations · 2016
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