Kosuke Takahashi
Papers
2
Total Citations
9
H-Index
2
About
Kosuke Takahashi is a pioneering researcher at the intersection of anesthesiology and surgical robotics, with a focus on patient safety and artificial intelligence in urologic surgery. His work addresses critical gaps in robotic-assisted laparoscopic prostatectomy (RALP), particularly regarding intraocular pressure dynamics and surgical workflow automation. In his landmark 2021 prospective observational study, Takahashi quantified the time course of intraocular pressure changes during RALP, identifying the precise moments of greatest risk—a contribution that has informed perioperative management protocols and earned 6 citations for its clinical relevance. More recently, he has advanced the field of surgical data science by developing an artificial intelligence model using convolutional neural networks (EfficientNet B7) for phase recognition in robot-assisted radical prostatectomy. This 2025 work, already garnering 3 citations, emphasizes model interpretability and cross-platform validation, setting a new standard for transparent AI in surgery. Takahashi’s dual focus on physiological monitoring and machine learning positions him as a leader in creating safer, smarter robotic surgery environments—a vital contribution as RALP becomes increasingly prevalent worldwide.
Research Focus
Key Achievements
Top Papers
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- 2