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Artificial Intelligence in Image Recognition of Pouchoscopies in Patients With Restorative Proctocolectomy

NCT04864587 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2023-08-29

No results posted yet for this study

Summary

The application of artificial intelligence in pouchoscopy of patients with restorative proctocolectomy might improve the diagnosis of pouchitis and neoplasms. The aim of this pilot study is to develop a convolutional neural network algorithm for pouchoscopy

Conditions

  • Pouches, Ileoanal

Interventions

DIAGNOSTIC_TEST

Artificial intelligence used for image recognition in pouchoscopy

The aim of this study is to develop an image recognition algorithm that reliably detects the different graduations of pouch inflammation and neoplasms in the pouch

Sponsors & Collaborators

  • Universitätsmedizin Mannheim

    collaborator OTHER

  • Theresienkrankenhaus und St. Hedwig-Klinik GmbH

    lead OTHER

Principal Investigators

  • Daniel Schmitz, PhD · Theresienkrankenhaus Mannheim, University of Heidelberg

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-06-01
Primary Completion
2023-06-01
Completion
2023-06-01

Countries

  • Germany

Study Locations

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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 NCT04864587 on ClinicalTrials.gov