Deep‐learning segmentation to guide bladder neck recognition in robot‐assisted radical prostatectomy

Yoshinari Muto; Kenji Zennami; Kota Yagi; Masashi Takenaka; Kiyoshi Takahara; Ryoichi Shiroki

doi:10.1111/bju.70287

April 14, 2026BJU International

Deep‐learning segmentation to guide bladder neck recognition in robot‐assisted radical prostatectomy

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Key Points

This research aims to improve anatomical recognition during robotic surgeries to support novice surgeons.
Developed a deep-learning segmentation model for anatomical structures.
Evaluated the model's performance in recognizing the bladder neck during surgery.
Assessed effects on speed and accuracy for novice surgeons.
The segmentation model significantly improved the recognition speed of anatomical structures.
Performance enhancements were particularly beneficial for novice surgeons.
Potential implications for better training in surgical education.

Implication

Model enhances anatomical recognition speed for novice surgeons, suggesting potential benefits for surgical education.

Abstract

The developed segmentation model enhanced the speed and performance of anatomical recognition, particularly for novice surgeons, and may support surgical education.

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Cite This Study

Muto et al. (2026) studied this question.

synapsesocial.com/papers/69e1cf375cdc762e9d858335 https://doi.org/10.1111/bju.70287

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Deep‐learning segmentation to guide bladder neck recognition in robot‐assisted radical prostatectomy

Key Points

Implication

Abstract

Discussion

Cite This Study

Deep‐learning segmentation to guide bladder neck recognition in robot‐assisted radical prostatectomy

Key Points

Implication

Abstract

Discussion

Cite This Study

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