Papers

4

Total Citations

29

H-Index

3

About

Nobushige Takeshita is pioneering the integration of artificial intelligence into robotic surgery, with a primary focus on robot-assisted radical prostatectomy. His research centers on two transformative areas: automated surgical phase recognition and objective surgical skill assessment. Takeshita’s landmark 2022 study introduced a deep-learning model capable of automatically recognizing the seminal vesicle and vas deferens during the posterior approach of robotic prostatectomy, a technical breakthrough that enhances surgical precision (15 citations). He further advanced the field by developing AI systems that automatically identify surgical phases and evaluate performance by analyzing dissection and exposure times, offering a novel, objective framework for training surgeons. His 2025 multicenter study, involving 18 medical education centers, demonstrated how deep-learning models can assess surgical skills and provide real-time feedback, addressing a critical gap in surgical education. Takeshita’s work also includes predicting biochemical recurrence in high-risk prostate cancer patients, linking technical proficiency to oncological outcomes. With cumulative citations exceeding 30, his contributions are shaping the future of data-driven, AI-assisted surgical training and quality assurance.

Research Focus

Key Achievements

3
H-Index
4
Papers
29
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Deep Learning-Based Seminal Vesicle and Vas Deferens Recognition in the Posterior Approach of Robot-Assisted Radical Prostatectomy
15 citations · 2022
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Chiba University, National Cancer Center Hospital East, Chiba Cancer Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago