← Back to Clinical Trials
Recruiting NCT06613503

NCT06613503 Effectiveness of the AI-Supporter in Reducing Urinary Tract Infections

◆ AI Clinical Summary
Plain-language summary for patients
Clinical Trial Summary
NCT ID NCT06613503
Status Recruiting
Phase
Sponsor China Medical University Hospital
Condition Incontinence
Study Type INTERVENTIONAL
Enrollment 60 participants
Start Date 2024-07-22
Primary Completion 2025-10-31

Eligibility & Interventions

Sex Female only
Min Age 20 Years
Max Age N/A
Study Type INTERVENTIONAL
Interventions
AI-supporter

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.

This trial targets 60 participants in total. It began in 2024-07-22 with a primary completion date of 2025-10-31.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

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.

Eligibility Criteria

Inclusion Criteria: * Participants must have been bedridden for at least 3 months and have urinary and/or fecal incontinence. * Female participants aged over 20 years old. * Participants must be capable of wearing the AI-supporter device during the study period. Exclusion Criteria: * Participants with severe skin conditions unrelated to incontinence. * Participants with current urinary tract infections or incontinence-associated dermatitis at the time of enrollment. * Participants who are unable to provide informed consent or have a legal representative to do so.

Contact & Investigator

Central Contact

Kwo-Chen Lee, ph.D

✉ rubylee@mail.cmu.edu.tw

📞 886422053366

Principal Investigator

Kwo-Chen Lee, ph.D

STUDY DIRECTOR

011+886+4+22053366#7102

Frequently Asked Questions

Who can join the NCT06613503 clinical trial?

This trial is open to female participants only, aged 20 Years or older, studying Incontinence. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT06613503 currently recruiting?

Yes, NCT06613503 is actively recruiting participants. Contact the research team at rubylee@mail.cmu.edu.tw for enrollment information.

Where is the NCT06613503 trial being conducted?

This trial is being conducted at Taichung, Taiwan.

Who is sponsoring the NCT06613503 clinical trial?

NCT06613503 is sponsored by China Medical University Hospital. The principal investigator is Kwo-Chen Lee, ph.D at 011+886+4+22053366#7102. The trial plans to enroll 60 participants.

Related Trials

ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology