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NCT05952700

inContAlert: Machine Learning Algorithms for Individual Bladder Filling Level Prediction

Completed Last updated 20 April 2025
What this trial tests

trial testing inContAlert in Monitoring of the Bladder Filling in 36 participants. Completed in 31 July 2024.

Timeline
1 March 2023
Primary endpoint
31 July 2024
31 July 2024

Quick facts

Lead sponsorinContAlert GmbH
StatusCompleted
Study typeOBSERVATIONAL
Enrollment36
Start date1 March 2023
Primary completion31 July 2024
Estimated completion31 July 2024
Sites1 location across Germany

Drugs / interventions tested

Conditions studied

Sponsor

inContAlert GmbH

Who can join

18 and older, any sex, with Monitoring of the Bladder Filling. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The aim of this study is to evaluate the bladder filling level of the study participants using the inContAlert sensor. The generated data will be used for the evaluation and optimization of the machine learning algorithms to be able to make precise predictions about the individual bladder fill level. In particular, the hypothesis that the bladder filling level can be estimated by the algorithm will be tested. When testing the hypothesis, it should be determined which deviation (measured by the mean absolute percentage error) of the estimation/prediction differs from the actual value (obtained by measuring the urine output using a measuring cup in combination with kitchen scales).

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Data sources for this page

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