Status:

COMPLETED

Real Life AI in Polyp Detection

Lead Sponsor:

Wuerzburg University Hospital

Conditions:

Colonic Polyp

Eligibility:

All Genders

18+ years

Phase:

NA

Brief Summary

The objective of this study is to compare the polyp detection rate (PDR) of endoscopists unaware of a commercially available artificial intelligence (AI) device for polyp detection during colonoscopy ...

Detailed Description

Recently, there have been remarkable breakthroughs in the introduction of deep learning techniques, especially convolutional neural networks (CNNs), in assisting clinical diagnosis in different medica...

Eligibility Criteria

Inclusion

  • Colonoscopies for Polyp detection

Exclusion

  • Colonoscopies for Inflammatory Bowel Disease (IBD).
  • Colonoscopies for work up of an active bleeding

Key Trial Info

Start Date :

May 1 2020

Trial Type :

INTERVENTIONAL

Allocation :

ACTUAL

End Date :

October 1 2020

Estimated Enrollment :

230 Patients enrolled

Trial Details

Trial ID

NCT04335318

Start Date

May 1 2020

End Date

October 1 2020

Last Update

April 8 2021

Active Locations (1)

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Universitätsklinikum Würzburg

Würzburg, Bavaria, Germany, 97080

Real Life AI in Polyp Detection | DecenTrialz