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Clinical, Functional, and Therapeutic Characterization of Women With Urinary Incontinence and Analysis of Factors Associated With Treatment Response
Sponsor: Javier Pereira
Summary
The goal of this observational retrospective study is to characterize women with urinary incontinence and to identify factors associated with their response to treatment using artificial intelligence models. The main questions it aims to answer are: What are the clinical, functional, and therapeutic characteristics of women with urinary incontinence? Which clinical, functional, and lifestyle factors are associated with response to treatment? Can artificial intelligence models identify patterns and factors associated with treatment response? Researchers will analyze data from women with urinary incontinence collected during routine clinical care at a specialized pelvic floor clinic. The study will combine clinical information from medical records, measurements obtained from clinical assessment instruments, and daily-life data collected using wearable devices such as activity bracelets. Artificial intelligence and machine learning models will be applied to these data to characterize participants and identify factors associated with treatment response.
Official title: Clinical, Functional, and Therapeutic Characterization of Women With Urinary Incontinence and Analysis of Factors Associated With Treatment Response: A Retrospective Observational Study in a Specialized Pelvic Floor Clinic
Key Details
Gender
FEMALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
80
Start Date
2026-12-01
Completion Date
2028-09-30
Last Updated
2026-11-03
Healthy Volunteers
No
Conditions
Interventions
Artificial intelligence clinical decision support model
Development and evaluation of an artificial intelligence-based clinical decision support model for women with urinary incontinence. The model will integrate clinical data obtained during routine care, measurements from clinical assessment instruments, patient-reported information from questionnaires, and daily-life data collected through wearable devices. The model is intended to identify patterns and factors associated with treatment response and to provide information that may support clinicians in the assessment and management of women with urinary incontinence. The study does not assign or modify the treatment received by participants, which is provided as part of routine clinical care.
Locations (1)
Clínica Cobian
A Coruña, La Coruña, Spain