Shinichi Sakamoto
Papers
2
Total Citations
11
H-Index
2
About
Shinichi Sakamoto is a pioneering researcher at the intersection of artificial intelligence and robotic surgery, with a primary focus on urological oncology. His groundbreaking work centers on developing automated, objective systems for surgical skill assessment in robot-assisted radical prostatectomy. Sakamoto’s major contributions include creating deep-learning models that automatically recognize surgical phases, enabling real-time evaluation of surgeon performance without subjective bias. His most cited paper, a 2025 multi-institutional study involving 18 medical education centers, demonstrates how AI can autonomously identify dissection and exposure times to assess surgical proficiency—a critical advancement for standardizing training. With citations already accumulating rapidly, his work addresses the pressing challenge of quantifying surgical expertise in robotic procedures. By transforming subjective evaluations into data-driven metrics, Sakamoto is reshaping how surgeons are trained and credentialed. His research not only enhances patient safety but also provides a scalable framework for surgical education worldwide, positioning him as a key innovator in the era of AI-assisted medicine.
Research Focus
Key Achievements
Top Papers
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