Kazuya Kinoshita

Chiba University

Papers

1

Total Citations

22

H-Index

1

About

Dr. Kazuya Kinoshita is at the forefront of integrating artificial intelligence into surgical practice, with a primary focus on laparoscopic and robot-assisted rectal cancer surgery. His most-cited work, a 2024 study on an AI-based nerve recognition model, has already garnered 22 citations, reflecting its immediate impact on the field. Kinoshita’s key contribution lies in developing predictive AI systems that can identify critical anatomical structures—particularly nerves—within the surgical field in real time. This innovation serves a dual purpose: it functions as a surgical support technology, enhancing precision and safety during complex procedures, and as an educational tool, training surgeons to better recognize and preserve vital nerve pathways. By leveraging AI to augment surgeons’ cognitive skills and experience, Kinoshita addresses a longstanding challenge in rectal cancer surgery: minimizing nerve damage while achieving optimal oncological outcomes. His work represents a significant step toward smarter, safer, and more reproducible surgical techniques, positioning him as a leading voice in the emerging field of AI-assisted surgery. For students and researchers, Kinoshita’s research exemplifies how computational tools can transform traditional surgical education and practice.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
An artificial intelligence-based nerve recognition model is useful as surgical support technology and as an educational tool in laparoscopic and robot-assisted rectal cancer surgery
22 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Chiba University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago