# Artificial Intelligence-Based Analysis of Uroflowmetry Patterns in Children: a Machine Learning Perspective

> **NCT06814847** · — · COMPLETED · sponsor: **Marmara University** · enrollment: 500 (actual)

## Conditions studied

- Voiding Dysfunction
- Voiding Disorders
- Machine Learning

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT06814847
- **Lead sponsor:** Marmara University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2024-10-01
- **Primary completion:** 2025-01-01
- **Final completion:** 2025-02-01
- **Target enrollment:** 500 (ACTUAL)
- **Last updated:** 2025-02-25


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06814847

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06814847, "Artificial Intelligence-Based Analysis of Uroflowmetry Patterns in Children: a Machine Learning Perspective". Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/clinical/NCT06814847. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*