Yuki Nakamura

Institute of Science Tokyo

Papers

1

Total Citations

5

H-Index

1

About

Dr. Yuki Nakamura is a pioneering figure at the intersection of artificial intelligence and urological surgery, whose work is redefining precision in the operating room. His primary research focuses on developing AI-driven intraoperative navigation systems, with a particular emphasis on real-time anatomical segmentation during complex robotic procedures. In his landmark 2025 study, Nakamura introduced a novel convolutional neural network that enables fluorescence-like visualization of the ureter during robot-assisted radical cystectomy—a critical innovation that enhances surgical safety by reducing the risk of ureteral injury. This work, already garnering 5 citations in its early publication, demonstrates his ability to translate cutting-edge machine learning into tangible clinical tools. By creating a "digital eye" for surgeons, Nakamura is bridging the gap between computer vision and minimally invasive surgery, offering a glimpse into a future where AI actively guides delicate dissections. His contributions are particularly impactful for trainees and experienced surgeons alike, promising to lower complication rates and improve patient outcomes in high-stakes oncologic procedures.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Pioneering AI-guided fluorescence-like navigation in urological surgery: real-time ureter segmentation during robot-assisted radical cystectomy using convolutional neural network
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Institute of Science Tokyo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago