Papers
10
Total Citations
211
H-Index
6
About
Nobuyoshi Takeshita stands at the forefront of surgical robotics and artificial intelligence, pioneering research that is reshaping the landscape of minimally invasive surgery. His work spans robotic endoscopy, AI-driven computer vision in the operating room, and objective surgical skill assessment — fields where technological innovation meets clinical practice. Takeshita's most influential contribution, a 2021 paper on AI-based computer vision in surgery (121 citations), synthesized advances in laparoscopic and robotic surgery, demonstrating how intelligent systems can extract meaningful procedural insights from surgical video. This work has become a touchstone reference for researchers and clinicians exploring smart operating room technologies. His earlier investigations into the Master and Slave Transluminal Endoscopic Robot (MASTER) — including feasibility studies for esophageal endoscopic submucosal dissection and the development of the GEARS-E assessment tool — established rigorous frameworks for evaluating robotic endosurgical performance. More recently, Takeshita has pushed boundaries in robot-assisted radical prostatectomy, applying deep learning to anatomical recognition and automated phase detection across 18 medical centers globally. His 2025 work on objective dissection-time analysis further signals a commitment to data-driven surgical education. Collectively, his research equips the next generation of surgeons with smarter tools, safer techniques, and measurable standards for excellence.
Research Focus
Key Achievements
Top Papers
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- 2Flexible Robotic Endoscopy Systems and the Future Ahead19 citations · 2018
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- 10Future of Flexible Robotic Endoscopy Systems2 citations · 2017