Colon Cancer Clinical Trial

Real-Time CAD for Colonic Neoplasia: A RCT

Summary

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.

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Full Description

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.

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Eligibility Criteria

Inclusion Criteria:

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

Exclusion Criteria:

Prior history of subtotal colectomy

Study is for people with:

Colon Cancer

Estimated Enrollment:

1100

Study ID:

NCT05963724

Recruitment Status:

Completed

Sponsor:

Riverside University Health System Medical Center

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There is 1 Location for this study

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Riverside University Health System
Moreno Valley California, 92555, United States

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Study is for people with:

Colon Cancer

Estimated Enrollment:

1100

Study ID:

NCT05963724

Recruitment Status:

Completed

Sponsor:


Riverside University Health System Medical Center

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