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February 21, 2024The Lancet Digital HealthOpen Access

A computer-aided polyp detection system in screening and surveillance colonoscopy: an international, multicentre, randomised, tandem trial

M. Maas Helmut Neumann Haim Shirin Lior H. Katz Ariel A. Benson Arslan Kahloon Elsa Soons Rawi Hazzan Marc Landsman Benjamin Lebwohl Suzanne K. Lewis Visvakanth Sivanathan Saowanee Ngamruengphong Harold Jacob Peter D. Siersema

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Abstract

Studies on the effect of computer-aided detection (CAD) in a daily clinical screening and surveillance colonoscopy population practice are scarce. The aim of this study was to evaluate a novel CAD system in a screening and surveillance colonoscopy population.

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Maas et al. (2024) studied this question.

synapsesocial.com/papers/68e78329b6db6435876f5ed6 https://doi.org/10.1016/s2589-7500(23)00242-x

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1A computer-aided detection system in the everyday setting of diagnostic, screening, and surveillance colonoscopy: an international, randomized trial2024 · 23 citations
2Computer-aided detection in surveillance colonoscopy: a population-based randomized trialRCT · 2026 · 2 citations
3The Efficacy of Real-time Computer-aided Detection of Colonic Neoplasia in Community Practice: A Pragmatic Randomized Controlled Trial2024 · 32 citations
4Computer-Aided Detection Colonoscopy for Surveillance in IBD Patients: Insights from a Single-Center Experience2025 · 5 citations
5Effectiveness of AI-enhanced colonoscopy: A case-control study using real world evidence in a young screening age populationRCT · 2026

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