Yutaka Osuga
Papers
1
Total Citations
15
H-Index
1
About
Yutaka Osuga is a leading figure in gynecologic surgery and reproductive medicine, with a research portfolio that bridges artificial intelligence, minimally invasive surgical innovation, and women’s health. His most-cited work, “Evolution of a surgical system using deep learning in minimally invasive surgery” (2023), has already garnered 15 citations—a testament to its timely impact. In this review, Osuga explores how deep learning and AI are transforming surgical precision, particularly in laparoscopic and robotic procedures, laying the groundwork for smarter, safer operating rooms. Beyond AI, his broader contributions span endometriosis, fertility preservation, and the pathophysiology of uterine disorders, where his clinical insights have shaped treatment protocols worldwide. Osuga’s research is distinguished by its translational focus: he not only advances theoretical understanding but also develops practical tools that directly improve patient outcomes. His work has been recognized with numerous awards in Japan and internationally, and he serves as a mentor to a new generation of surgeon-scientists. For students and researchers, Osuga exemplifies how integrating computational methods with surgical expertise can redefine the future of medicine.
Research Focus
Key Achievements
Top Papers
- 1