Hideto Ueki

Kobe University

Papers

3

Total Citations

13

H-Index

3

About

Dr. Hideto Ueki is advancing the frontiers of robotic surgery and artificial intelligence in urology. His research focuses on three pivotal areas: the clinical application of next-generation robotic platforms, the development of AI-driven surgical analytics, and the creation of predictive models for prostate cancer management. Dr. Ueki’s most notable contribution is his pioneering work with the hinotori surgical robot system, where his 2024 study on robot-assisted laparoscopic pyeloplasty provided the first perioperative outcomes for this emerging platform, garnering 7 citations. In a groundbreaking 2025 study, he developed a convolutional neural network using EfficientNet B7 to recognize surgical phases during robot-assisted radical prostatectomy, achieving cross-platform validation—a critical step toward automated surgical assessment. Additionally, his machine learning models for predicting lymph node metastasis in Japanese localized prostate cancer (2024, 3 citations) offer a data-driven approach to reducing unnecessary lymph node dissections. By bridging robotic innovation with artificial intelligence, Dr. Ueki is shaping a future where urological surgery is both more precise and more intelligent.

Research Focus

Key Achievements

3
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Initial Experience of Robot Assisted Laparoscopic Pyeloplasty for Ureteropelvic Junction Obstruction Using the Hinotori Surgical Robot System
7 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Kobe University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago