Computer-aided detection in surveillance colonoscopy: a population-based randomized trial.

EndoscopyJun 28, 2026 (epub)
Clinical ResearchGastroenterology

Laura Codesido-Prado, Pedro Davila-Piñón, Raquel Almazán et al.

✦ AI-curated · Sources linked

In 30 seconds

This population-based randomized controlled trial evaluated the effectiveness of computer-aided detection (CADe) in increasing adenoma detection rates (ADR) during surveillance colonoscopy. Among 4824 included procedures, the overall ADR was similar between CADe-assisted (58.8%) and standard colonoscopy (57.4%; aRR 1.02, 95%CI 0.95-1.10). CADe showed a benefit for lower performing endoscopists but not for high performers.

Key findings

  • Overall ADR was 57.4% for standard colonoscopy and 58.8% for CADe-assisted colonoscopy.
  • CADe increased ADR for low performing endoscopists (45.5% vs. 52.1%; aRR 1.15, 95%CI 1.01-1.30).
  • No significant difference in ADR for high performing endoscopists (65.9% vs. 63.5%; aRR 0.96, 95%CI 0.88-1.05).

Why it matters

Understanding the effectiveness of CADe in surveillance colonoscopy is crucial for optimizing adenoma detection strategies, particularly in varying endoscopist performance levels. This study suggests that CADe may not universally enhance detection rates.

Source

Published in Endoscopy. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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