Yusuke Maeda
Papers
8
Total Citations
134
H-Index
5
About
Yusuke Maeda is a pioneering surgical researcher at the forefront of applying artificial intelligence to robotic and minimally invasive surgery. His work focuses primarily on AI-driven surgical process recognition, skill assessment, and intraoperative decision support — fields that sit at the critical intersection of computer vision, machine learning, and surgical science. Maeda's most influential contribution, his 2022 paper on automated surgical-phase recognition for robot-assisted minimally invasive esophagectomy (RAMIE), has already accumulated 60 citations, establishing him as a leading voice in AI-assisted surgical analytics. Building on this foundation, he has extended these methods to robotic distal gastrectomy, demonstrating how AI can objectively evaluate surgical complexity and expertise — work with significant implications for surgical training and quality assurance. Perhaps most clinically impactful is his ongoing research into AI-assisted recognition of the recurrent laryngeal nerve during RAMIE, addressing one of the procedure's most delicate and consequential challenges. His 2024 and 2025 studies in this area, alongside multicenter validation efforts, underscore a commitment to rigorous, generalizable science. With over 130 cumulative citations across just a few years of publication, Maeda's research is rapidly shaping how surgeons and institutions will use AI to standardize, evaluate, and ultimately improve complex surgical care.
Research Focus
Key Achievements
Top Papers
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