Max Robotics — Global Service Robot Directory + US Certification

About

Kousuke Hirasawa is a leading researcher in surgical data science, with a focus on computer-assisted intervention and robotic surgery. His work centers on developing machine learning models for surgical tool segmentation, action recognition, and phase recognition—critical components for advancing autonomous surgical systems and skills assessment. Hirasawa’s contributions are exemplified by his leadership in major benchmark challenges: the SAR-RARP50 challenge (2023, 11 citations), which advanced segmentation and action recognition in robot-assisted radical prostatectomy, and the Intuitive Surgical SurgToolLoc and SurgVU challenges (2023, 6 citations), which fostered community-driven innovation in robotic surgery. His recent PhaKIR 2024 challenge (2026, 2 citations) further validated methods for surgical phase recognition, instrument keypoint estimation, and instance segmentation in endoscopy. These efforts have established standardized evaluation frameworks that accelerate progress in surgical AI. Hirasawa’s work is notable for bridging clinical needs with technical rigor, producing reproducible benchmarks that guide both research and practical deployment. His achievements underscore a commitment to transforming surgical intervention through data-driven innovation, making him a pivotal figure in the surgical data science community.