aceReal-time artificial intelligence-assisted assessment in a home-based pelvic floor muscle training device for pelvic organ prolapse and stress urinary incontinence: A single-center prospective study
Objective Pelvic floor muscle training (PFMT) is the first-line conservative treatment of pelvic organ prolapse (POP) and stress urinary incontinence (SUI), but its effectiveness is often limited by poor adherence and performance. We developed a third-generation home-based PFMT device incorporating real-time artificial intelligence (AI)-assisted assessment. This study aimed to evaluate the efficacy of this device in women with POP or SUI. Materials and methods This prospective single-arm study was conducted at T…
Over two months of home training with an AI-assisted pressure-sensing device, women with mild prolapse or stress urinary incontinence reported fewer symptoms, leaked less urine, and had better muscle contraction quality.
The authors note the study was limited by a small sample size, short follow-up and a single-arm design, so the effect of the AI assessment cannot be separated from training itself.
Evidence
- Peer-reviewedTaiwanese Journal of Obstetrics and Gynecology2026-11-01
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Truvace Impact Record TRV-2026-2337, v1: “Real-time artificial intelligence-assisted assessment in a home-based pelvic floor muscle training device for pelvic organ prolapse and stress urinary incontinence: A single-center prospective study.” Truvace, 2026-11-02. /record/TRV-2026-2337 (accessed at citation time). sha256 d183584c0e2af365…
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