Poster Session I - A53 COMPUTER-AIDED COLONOSCOPY ALERT FATIGUE AND ITS EFFECT ON ADENOMA DETECTION

Abstract Background 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. Aims We aimed to determine whether alert fatigue occurs during CADe use and, if so, how it influences ADR throughout the day. Methods 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. Results A total of 1,700 colonoscopies were analyzed, including 880 with CADe assistance and 820 without. In the CADe-unassisted group, ADR remained stable throughout the day (1st–3rd procedures: 39.4%, 95% CI [35.1–43.8]; 4th–7th procedures: 40.9%, 95% CI [32.9-49.5]). By contrast, ADR in CADe-assisted procedures was markedly higher in the first three procedures (49.9%, 95% CI [45.5–54.3]) but dropped significantly to 39.9% (95% CI [33.8–46.3]) in later procedures. This pattern was consistent when ADR was assessed by time of day. Similarly, APC were significantly higher in early CADe-assisted procedures (mean increase +0.27, 95% CI [0.14–0.41], p < 0.001), but this benefit disappeared in later procedures (+0.11, 95% CI [–0.09–0.31], p = 0.51). WT analysis further supported this effect: ADR gains per additional minute were higher in unassisted colonoscopies (21.6% early vs. 15.3% late) than in CADe-assisted colonoscopies (10.5% early vs. 10.1% late). Conclusions CADe assistance significantly improved ADR during early-day colonoscopies, but this benefit disappeared in later-day procedures. This pattern suggests that alert fatigue may limit endoscopists’ responsiveness to CADe prompts as the day progresses. Funding Agencies None

Authors

Institutions

Publication Details

Journal
Journal of the Canadian Association of Gastroenterology
Published
2026-02-01
DOI
https://doi.org/10.1093/jcag/gwaf042.053
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Poster Session I - A53 COMPUTER-AIDED COLONOSCOPY ALERT FATIGUE AND ITS EFFECT ON ADENOMA DETECTION

Roupen Djinbachian, Simon Bouchard, Victoire Michal, Katarzyna Orlicka et al.
Journal of the Canadian Association of Gastroenterology
Colorectal Cancer Screening and Detection
article

Poster Session I - A53 COMPUTER-AIDED COLONOSCOPY ALERT FATIGUE AND ITS EFFECT ON ADENOMA DETECTION

Roupen Djinbachian, Simon Bouchard, Victoire Michal, Katarzyna Orlicka, Raymond Leduc, Louise D’Aoust, Megan Oleksiw, M Bouin, D Von Renteln, D C Daoud, F Huang, R Battat, B Panzini, J Liu, E deslandres, E Bernard, D K Rex
article en

Abstract

Abstract Background 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. Aims We aimed to determine whether alert fatigue occurs during CADe use and, if so, how it influences ADR throughout the day. Methods 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. Results A total of 1,700 colonoscopies were analyzed, including 880 with CADe assistance and 820 without. In the CADe-unassisted group, ADR remained stable throughout the day (1st–3rd procedures: 39.4%, 95% CI [35.1–43.8]; 4th–7th procedures: 40.9%, 95% CI [32.9-49.5]). By contrast, ADR in CADe-assisted procedures was markedly higher in the first three procedures (49.9%, 95% CI [45.5–54.3]) but dropped significantly to 39.9% (95% CI [33.8–46.3]) in later procedures. This pattern was consistent when ADR was assessed by time of day. Similarly, APC were significantly higher in early CADe-assisted procedures (mean increase +0.27, 95% CI [0.14–0.41], p < 0.001), but this benefit disappeared in later procedures (+0.11, 95% CI [–0.09–0.31], p = 0.51). WT analysis further supported this effect: ADR gains per additional minute were higher in unassisted colonoscopies (21.6% early vs. 15.3% late) than in CADe-assisted colonoscopies (10.5% early vs. 10.1% late). Conclusions CADe assistance significantly improved ADR during early-day colonoscopies, but this benefit disappeared in later-day procedures. This pattern suggests that alert fatigue may limit endoscopists’ responsiveness to CADe prompts as the day progresses. Funding Agencies None

Journal of the Canadian Association of GastroenterologyVol. 9(Supplement_1)
Centre Hospitalier de l’Université de Montréal (CA), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US), Université de Montréal (CA)
Openalex Percentile: Top 57%
Colorectal Cancer Screening and Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.