ArticleIn vivo (Athens, Greece)
Effectiveness of CADe in Colonoscopy for Improved Adenoma and Polyp Detection Under Diverse Clinical Conditions.
Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Artificial Intelligence-Assisted Colonoscopy for Colorectal Lesion Detection: Current Evidence, Challenges, and Future Directions.Journal of clinical medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimColonoscopy is the gold standard for colorectal cancer prevention, but its effectiveness is limited by missed lesions and operator-dependent variability. Computer-aided detection (CADe) has been introduced to mitigate these limitations, yet its value for endoscopists with different levels of expertise remains unclear. This study evaluated the real-world effectiveness of CADe, focusing on its differential impact on experts and trainees under diverse clinical conditions. PATIENTS AND
methodsWe conducted a retrospective, comparative study of consecutive colonoscopies performed at a tertiary center. To reduce potential selection bias, we applied 1:1 propensity score matching (PSM), yielding 724 matched patients (362 CADe
resultsThe CADe group demonstrated significantly higher overall ADR (40.6%
conclusionCADe significantly enhances adenoma and polyp detection in real-world practice. Its utility varies by operator experience, serving as a refinement tool for experts to detect subtle lesions and a safety net for trainees to bridge the experience gap. Adequate bowel preparation is essential for maximizing these benefits.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.