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Effectiveness of the AI-Supporter in Reducing Urinary Tract Infections

StatusUnknown
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated September 26, 2024 (before its estimated October 31, 2025 completion). Its status may not reflect the trial's current state.

Record History

  1. Changed Registry marked status Unknown (sponsor has not verified the record since Sep 2024); last known: Recruiting
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
The "AI Supporter," an intelligent excretion management robot, leverages artificial intelligence-based vision recognition to autonomously detect and cleanse affected areas, followed by drying and changing the diaper, thereby reducing caregiver strain and enhancing care quality. This study aims to assess the efficacy of the "AI Supporter" in decreasing the incidence of urinary tract infections and incontinence-associated dermatitis among incontinent patients, in addition to exploring its cost-effectiveness. Adopting an experimental (two groups) and longitudinal design, this research utilizes both convenience and random sampling strategies. The study anticipates recruiting 60 female subjects who have been confined to bed for more than three months with urinary and/or fecal incontinence. Participants will intermittently use the AI Supporter over a 14-day period. Measurement tools include routine urine analysis.
Trial Details
NCT Number NCT06613503
Lead Sponsor China Medical University Hospital
Conditions
(from sponsor)		 Incontinence, Urinary Tract Infection, Incontinence-associated Dermatitis, Cost-effectiveness
Related terms Urinary Tract Infections
Enrollment 60 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov