Actively Recruiting
Longterm Effectiveness of Artificial Intelligence-assisted Colonoscopy on Adenoma Recurrence
Led by Chinese University of Hong Kong · Updated on 2024-10-29
775
Participants Needed
1
Research Sites
170 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
We hypothesize that AI-assisted colonoscopy can reduce post-colonoscopy neoplasia incidence after 3 years, over standard colonoscopy. Moreover, this protective effect may allow surveillance intervals to be lengthened, by modifying long-term outcome of high-risk subgroup.
CONDITIONS
Official Title
Longterm Effectiveness of Artificial Intelligence-assisted Colonoscopy on Adenoma Recurrence
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Participants must have been randomized to receive colonoscopy with or without AI assistance in the ENDOAID-TRAIN study (NCT04838951)
- Participants must be fit and willing to undergo surveillance colonoscopy at year 3
- Participants must provide written informed consent
You will not qualify if you...
- Incomplete colonoscopy during the initial procedure
- Known residual colorectal neoplasia not removed (except hyperplastic polyps)
- Underwent unscheduled colonoscopy before the 3-year surveillance
- Contraindications to surveillance colonoscopy at year 3
- Advanced comorbid condition (American Society of Anesthesiologists grade 4 or above)
- History of colorectal cancer, hereditary polyposis syndrome, or inflammatory bowel disease
- History of colectomy at any time point
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Prince of Wales Hospital
Hong Kong, Hong Kong
Actively Recruiting
Research Team
F
Felix Sia
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
TREATMENT
Number of Arms
1
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