Poster Session I - A53 COMPUTER-AIDED COLONOSCOPY ALERT FATIGUE AND ITS EFFECT ON ADENOMA DETECTION
F Huang, V Michal, R Djinbachian, M Oleksiw, D K Rex, R Battat, E deslandres, M Bouin, J Liu, B Panzini, S Bouchard, D C Daoud, E Bernard, K Orlicka, R Leduc, L D’aoust, D von Renteln

TL;DR
Computer-aided detection improves adenoma detection early in the day but loses effectiveness later due to alert fatigue.
Contribution
This study demonstrates that CADe effectiveness declines later in the day, suggesting alert fatigue impacts its utility.
Findings
CADe-assisted colonoscopies showed higher early adenoma detection rates but a significant drop later in the day.
Adenomas per colonoscopy increased in early CADe-assisted procedures but not in later ones.
Withdrawal time gains were smaller in CADe-assisted procedures later in the day compared to early ones.
Abstract
Computer-aided detection (CADe) can improve colonoscopy adenoma detection rates (ADR). However, prolonged exposure to repeated alerts may lead to alert fatigue, potentially diminishing its effectiveness. We aimed to determine whether alert fatigue occurs during CADe use and, if so, how it influences ADR throughout the day. We conducted a secondary analysis of a prospectively collected cohort to evaluate how ADR varied with and without CADe in a pragmatic, real-world implementation. Elective colonoscopies performed at the University of Montreal Hospital Center were analyzed according to their position within the endoscopist’s daily schedule. The primary outcome was ADR across procedure order, adjusted for withdrawal time (WT). Secondary outcomes included adenomas per colonoscopy (APC), ADR by time of day, and ADR across different WT categories. A total of 1,700 colonoscopies were…
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Taxonomy
TopicsColorectal Cancer Screening and Detection · Medical Device Sterilization and Disinfection · AI in cancer detection
