Yuichiro Miyamoto
Papers
1
Total Citations
15
H-Index
1
About
Yuichiro Miyamoto is a pioneering researcher at the intersection of artificial intelligence and minimally invasive surgery. His primary research areas include deep learning applications in surgical systems, medical image recognition, and the evolution of AI-assisted operative techniques. Miyamoto’s major contribution lies in his comprehensive review of how deep learning is transforming surgical practice, particularly in minimally invasive procedures. His most-cited work, "Evolution of a surgical system using deep learning in minimally invasive surgery" (2023), has already garnered 15 citations, reflecting its timely impact on the field. In this review, he systematically analyzes how advances in computational processing speed and novel learning methods are enabling AI to enhance surgical precision, decision-making, and patient outcomes. Miyamoto’s work bridges the gap between cutting-edge AI technology and clinical application, offering a roadmap for integrating intelligent systems into operating rooms. His research not only highlights current achievements but also identifies future directions for AI in surgery, making him a key voice in the ongoing transformation of surgical care through technology.
Research Focus
Key Achievements
Top Papers
- 1