Computer-aided detection in surveillance colonoscopy: a population-based randomized trial.
Computer-aided detection during colon cancer screening finds more dangerous polyps, strengthening cancer prevention in routine clinical practice.
This large population-based RCT demonstrates that computer-aided detection meaningfully improves adenoma detection in surveillance colonoscopy, including advanced adenomas that most influence cancer risk. Real-world population-based design strengthens generalizability for colorectal cancer prevention programs.
What the study was
- Study design
- Population-based randomized controlled trial
- Population
- Patients undergoing surveillance colonoscopy; n=5,309
- Sample size
- 5309
- Category
- Early Detection
- Maturity
- Potentially Practice-Changing
- Journal
- Endoscopy
Why it surfaced
Largest population-based RCT (n=5,309) of AI-assisted colonoscopy in surveillance; strengthens guideline-ready evidence for CADe adoption; actionable for endoscopy programs.
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