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Artificial Intelligence Aid Systems in Colorectal Adenoma Detection

NCT04945044 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 370

Last updated 2022-09-21

No results posted yet for this study

Summary

The main purpose of the study to evaluate the usefulness of the Endo-AID artificial intelligence system in the detection of colorectal adenomas in consecutive patients for outpatient colonoscopy.

The secondary aims were:

* To evaluate the benefit of Endo-AID in adenoma detection rate by comparing endoscopists with high and low adenoma detection rate.
* To evaluate serrated detection rate, advanced adenoma detection rate, adenoma detection rate according to the size (\<= 5mm, 6-9mm,\> = 10mm) and number of adenomas by colonoscopy. Stratification by location and morphology.

Conditions

  • Adenoma Detection Rate

Interventions

DEVICE

Computed adenoma detection system (CADe)

This is a computed system that helps the endoscopist to increase the detection of colorectal polyps

BEHAVIORAL

Control group (regular colonoscopy)

It is exclusively the endoscopist in charge of the detection of the polyps (usual practice)

Sponsors & Collaborators

  • Hospital Universitario de Canarias

    lead OTHER

Principal Investigators

  • Antonio Gimeno Garcia, MD, PhD · Hospital Universitario de Canarias

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-11-15
Primary Completion
2022-01-31
Completion
2022-01-31

Countries

  • Spain

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 NCT04945044 on ClinicalTrials.gov