Artificial intelligence-assisted detection and optical differentiation of colorectal lesions in Lynch syndrome surveillance (CADLY2): a multicentre, open-label, randomised controlled superiority trial.
AI-powered systems detect more precancerous polyps during colorectal screening, potentially catching cancer earlier.
Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adenoma detection in average-risk colorectal cancer screening. Third-party research funding of the National Center for Hereditary Tumor Syndromes, University Hospital Bonn.
What the study was
- Study design
- Computational/ML study
- Population
- Cancer/disease patients
- Sample size
- 757
- Category
- Early Detection
- Maturity
- Exploratory
- Journal
- The lancet. Gastroenterology & hepatology
Why it surfaced
Matched topic(s): AI/ML in clinical diagnostics and imaging. Study design: Computational/ML study. Published in high-impact journal. Score 7/10.
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