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Real-Time CAD for Colonic Neoplasia: A RCT | Clinical Trials | Clareo Health

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COMPLETEDNANCT05963724

Real-Time CAD for Colonic Neoplasia: A RCT

This study assesses the sensitivity and added benefits of computer-aided detection compared to standard care (white-light) in detecting colon polyps in patients undergoing colonoscopy.

Lead sponsor: Riverside University Health System Medical Center•1 U.S. locations•View source on ClinicalTrials.gov

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Sponsors

Lead Sponsor

Riverside University Health System Medical Center

Failure in polyp detection leads to colon cancer after colonoscopy. Artificial intelligence systems allow real-time computer-aided detection of polyps with high-accuracy. This study will compare GI-Genius, a real-time CAD system to standard colonoscopy in terms of how many colonoscopies detect an adenoma.

Age

30 - 100 years

Sex

ALL

Healthy Volunteers

No

Inclusion Criteria

•Undergoing colonoscopy at RUHS
•Age \> 45 years
•No contraindications to colonoscopy

Exclusion Criteria

•Prior history of subtotal colectomy

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Data from ClinicalTrials.govLast updated on ClinicalTrials.gov: July 27, 2023Terms

Trial snapshot

StatusCOMPLETED

PhaseNA

Enrollment1,100

Start dateSep 2022

Last updatedJul 27, 2023

Condition

Colorectal Cancer Colorectal Neoplasms

Locations shown

Riverside University Health System

Moreno Valley, California

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Data Source & Attribution

This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.

ClinicalTrials.gov last update: July 27, 2023Data synced to Clareo: June 28, 2026

Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.

Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.

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