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Real Life AI in Polyp Detection

NCT04335318 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 230

Last updated 2021-04-08

No results posted yet for this study

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 and the PDR of endoscopists with the aid of such a device. Moreover, an extensive characterization of the performance of this device will be done.

Conditions

  • Colonic Polyp

Interventions

DEVICE

AI-assisted colonoscopy

Colonoscopies performed with assistance of an AI tool that highlights the areas that are susceptible to be a polyp.

Sponsors & Collaborators

  • Wuerzburg University Hospital

    lead OTHER

Principal Investigators

  • Alexander Hann, PD Dr. Med · Wuerzburg University Hospital

Study Design

Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-05-01
Primary Completion
2020-08-31
Completion
2020-10-01

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 NCT04335318 on ClinicalTrials.gov