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Identification of Hypospadias Parameters Using Digital Photography and Artificial Intelligence

NCT05569863 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2022-10-06

No results posted yet for this study

Summary

The goal of this observational study is to develop and validate a digital pattern recognition system based on artificial neural network to determine various parameters in hypospadias. The main question it aims to answer is:

How accurate is the digital pattern recognition system based on artificial neural network to determine various parameters in hypospadias?

Participants in this study are hypospadias patients aged \< 18 years old. The guardian (and the patient, if applicable) will be informed about the study and asked for consent. The digital picture of participants' penis will be taken from different angles according to the predetermined angle.

The clinical characteristics of the photographed penis are then inputted and used to train a customized artificial neural network (ANN). The machine is then used to predict various hypospadias parameters presenting at the patients' penis. The accuracy of the machine is then compared to the measurement done by pediatric urologists.

Conditions

  • Hypospadias

Sponsors & Collaborators

  • University Ghent

    collaborator OTHER

  • Indonesia University

    lead OTHER

Principal Investigators

  • Irfan Wahyudi, MD, PhD · Department of Urology, Faculty of Medicine, Universitas Indonesia

Eligibility

Max Age
18 Years
Sex
MALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-11-14
Primary Completion
2023-06-01
Completion
2023-12-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05569863 on ClinicalTrials.gov