# Deep learning–based detection of stress urinary incontinence in transperineal ultrasound video examinations

Source: [Medical research : nature.com subject feeds](https://www.nature.com/articles/s41598-026-77927-2) · 2026-11-14 · Medicine
Page: https://themorning.science/story/deep-learning-based-detection-of-stress-urinary-incontinence-in-transperineal-ul-97381f786e51044b
Kind: research · Impact: low

## In brief

- A study describes a deep learning method for detecting stress urinary incontinence in transperineal ultrasound video examinations.
- The available source gives only the title and no summary, so methods, data and results are not reported here.

## Why it matters

It explores automated analysis of ultrasound video for a common pelvic floor condition, which is relevant to clinicians and researchers working on medical imaging and AI diagnostics.

## Timeline

- 2026-11-14: Study listed in nature.com subject feed

## Coverage

- [Deep learning–based detection of stress urinary incontinence in transperineal ultrasound video examinations](https://www.nature.com/articles/s41598-026-77927-2) — Medical research : nature.com subject feeds, 2026-11-14

Tags: deep learning, ultrasound, medical imaging, urology, incontinence

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Brief generated by AI (claude-haiku-5-5) from the reporting listed under Coverage. Headlines belong to their publishers. The Morning Science – https://themorning.science