Research
Deep learning–based detection of stress urinary incontinence in transperineal ultrasound video examinations
Nature ·
The 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.
Who’s affected
- clinicians and researchers in urogynecology
- medical imaging and AI researchers
- #deep learning
- #ultrasound
- #medical imaging
- #urology
- #incontinence
Timeline
Study listed in nature.com subject feed
Medical research : nature.com subject feeds
Deep learning–based detection of stress urinary incontinence in transperineal ultrasound video examinations