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Interest of Artificial Intelligence in Cancer Screening Colonoscopy

NCT04921488 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 194

Last updated 2026-05-15

No results posted yet for this study

Summary

Artificial Intelligence (AI) to predict the histology of polyps per colonoscopy, offers a promising solution to reduce variation in colonoscopy performance. This new and innovative non-invasive technology will improve the quality of screening colonoscopies, and reduce the costs of colorectal cancer screening. The aim of the study is to performed a cross-sectional, multi-center study evaluating the diagnostic performance of the CAD EYE automatic characterization system for the histology of colonic polyps in colorectal cancer screening colonoscopy.

Conditions

  • Colonoscopy
  • Colorectal Neoplasms
  • Intestinal Polyps
  • Deep Learning

Interventions

DEVICE

screening colonoscopy

The screening colonoscopy will be performed by an investigator. The automatic detection and characterization system will be activated at the time of descent of the colonoscopy (after caecal intubation), with video recording (image without CAD EYE and image with CAD EYE). The investigator performing the colonoscopy will be blinded by the results of the CAD EYE.

Sponsors & Collaborators

  • University Hospital, Bordeaux

    lead OTHER

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-10-21
Primary Completion
2023-01-25
Completion
2023-01-25

Countries

  • France

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 NCT04921488 on ClinicalTrials.gov