Actively Recruiting
Artificial Intelligence-assisted Colonoscopy in the Detection and Characterization of Colorectal Lesions
Led by Instituto do Cancer do Estado de São Paulo · Updated on 2025-07-16
1000
Participants Needed
1
Research Sites
95 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Artificial Intelligence-assisted Colonoscopy in the Detection and Characterization of Colorectal Lesions
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients aged 18 years or older
- Elective indication for colonoscopy
- Signed informed consent form agreeing to participate in the study
You will not qualify if you...
- 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
- Severe, decompensated comorbidities or ASA score of 3 or higher
- Incomplete colonoscopy that does not reach the cecum
- Inadequate bowel preparation with a Boston Bowel Preparation Scale score lower than 6
- Patients who do not sign the informed consent form
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Hospital das Clínicas da Faculdade de Medicina da USP
São Paulo, São Paulo, Brazil, 05403-010
Actively Recruiting
Research Team
M
Márcio Roberto Facanali Júnior
CONTACT
A
Adriana Vaz Safatle Ribeiro, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
DIAGNOSTIC
Number of Arms
2
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here