Artificial Intelligence-assisted Colonoscopy in the Detection and Characterization of Colorectal Lesions

Recruiting now · Not applicable

Conditions studied: Colorectal Cancer (CRC), Adenomatous Polyposis, Colorectal Lesions, Colorectal Cancer

In brief

The study aims to evaluate the effectiveness of artificial intelligence-assisted colonoscopy in increasing adenoma detection rate and the accuracy in the characterization of colorectal lesions, compared to standard colonoscopy, in a randomized controlled clinical trial setting.

Key facts

Study ID

NCT07066046

Run by

Instituto do Cancer do Estado de São Paulo

People needed

1000

Starts

2025-02-01

Expected to finish

2026-12-01

Last updated by the study team

2026-06-23

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• All patients aged 18 years or older, with an elective indication for colonoscopy who sign the informed consent form agreeing to participate in the study.

You may not qualify if…

• History of inflammatory bowel disease.
• History of colorectal cancer.
• Personal history of colorectal surgery.
• Contraindication to endoscopic biopsies.
• History of intestinal polyposis syndromes.
• Urgent or emergency cases.
• Presence of severe, decompensated comorbidities, or with a score of 3 or higher according to the American Society of Anesthesiologists (ASA) classification.
• Incomplete colonoscopy that does not reach the cecum.
• Insufficient or inadequate bowel preparation, with a score lower than 6 on the Boston Bowel Preparation Scale.
• Patients who do not agree to participate in the study and do not sign the informed consent form (ICF).

Where it is running

• Hospital das Clínicas da Faculdade de Medicina da USP — São Paulo, São Paulo, Brazil (enrolling)

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.