Personalizing withdrawal time by insertion time to achieve target adenoma detection rate in colonoscopy

A hybrid SVM-XGBoost model using four key endoscopic factors was independently validated and is available as a Shiny app, delivering real-time decision support to streamline endoscopy and enhance clinical outcomes.

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Publication Details

Journal
World Journal of Gastroenterology
Published
2025-10-13
DOI
https://doi.org/10.3748/wjg.v31.i38.111364
Citations
1
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
1.05
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article

Personalizing withdrawal time by insertion time to achieve target adenoma detection rate in colonoscopy

Haoyan Zhang, Xujin Chen, Bingxin Xu, Bingni Wei et al.
1 citations
World Journal of Gastroenterology
Colorectal Cancer Screening and Detection
1.05
article

Personalizing withdrawal time by insertion time to achieve target adenoma detection rate in colonoscopy

Haoyan Zhang, Xujin Chen, Bingxin Xu, Bingni Wei, Yang Cheng, Chuanrui Xu
article en
1 citations

Abstract

A hybrid SVM-XGBoost model using four key endoscopic factors was independently validated and is available as a Shiny app, delivering real-time decision support to streamline endoscopy and enhance clinical outcomes.

World Journal of GastroenterologyVol. 31(38)
Wuxi People's Hospital (CN)
Openalex Percentile: Top 17%
Colorectal Cancer Screening and Detection
1.05
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