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Interest of Artificial Intelligence in Cancer Screening Colonoscopy
Sponsor: University Hospital, Bordeaux
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.
Official title: Cross-sectional, Multi-center Study Comparing Diagnostic Performance Between the CAD EYE System and the Physician on Histological Prediction of Colonic Polyps in Screening of Colorectal Cancer by Colonoscopy
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
194
Start Date
2021-10-21
Completion Date
2023-01-25
Last Updated
2026-05-15
Healthy Volunteers
No
Interventions
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.
Locations (5)
CHU d'Angers
Angers, France
Hopital Américain
Neuilly-sur-Seine, France
Hôpital Saint Antoine
Paris, France
Hôpital Européen Georges Pompidou
Paris, France
Centre Hospitalier Universitaire de Bordeaux
Talence, France