AI Colorectal Polyp Detection

Completed · Not applicable

Conditions studied: Polyp Colorectal, Adenoma Colon

In brief

This study is intended to demonstrate the superiority of colorectal polyp detection using computer-assisted colonoscopy compared to conventional colonoscopy.

Key facts

Study ID

NCT04979962

Run by

Fujifilm Medical Systems USA, Inc.

People needed

1162

Starts

2021-11-24

Expected to finish

2022-11-21

Last updated by the study team

2023-09-18

Who can join

Age: 45 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Average risk subjects undergoing their first colonoscopy (screening) or follow-up colonoscopy for previous history of polyps (surveillance interval of 3 years or greater)
• Patients aged 45 or older
• Patients who can provide an informed consent

You may not qualify if…

• Patients with history of colon resection, Inflammatory Bowel Disease (IBD), Familial Adenomatous Polyposis (FAP), severe comorbidity, including end-stage cardiovascular/pulmonary/liver/renal disease
• Patients who are pregnant or are planning pregnancy during study period
• Patients who are not able to or refuse to give informed consent

Where it is running

• Keck Medicine University of Southern California — Los Angeles, California, United States
• Largo Medical Center (HCA) — Largo, Florida, United States
• Brigham and Women's Hospital — Chestnut Hill, Massachusetts, United States
• GI Associates — Flowood, Mississippi, United States
• Saint Luke's Hospital of Kansas City — Kansas City, Missouri, United States
• Kansas City VA Medical Center — Kansas City, Missouri, United States
• New York University/Manhattan Endoscopy — New York, New York, United States
• Columbia University Medical Center — New York, New York, United States
• Virginia Mason Medical Center — Seattle, Washington, United States
• Swedish Medical Center — Seattle, Washington, United States

Full record on ClinicalTrials.gov

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