Automated assessment of small bowel and colon cleansing in enteroscopy using a convolutional neural network

Current bowel cleanliness assessment methods are subjective and region-specific. This study presents the first CNN capable of panendoscopic bowel cleanliness evaluation during DAE, achieving high accuracy and demonstrating potential for real-time clinical application. This study marks a key step toward standardizing cleanliness assessment and endoscopy quality improvement.

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Publication Details

Journal
Endoscopy International Open
Published
2026-01-19
DOI
https://doi.org/10.1055/a-2778-5666
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated assessment of small bowel and colon cleansing in enteroscopy using a convolutional neural network

M. Mascarenhas, Joana Portugal Mota, Patrícia Andrade, Pedro Cardoso et al.
Endoscopy International Open
Colorectal Cancer Screening and Detection
article

Automated assessment of small bowel and colon cleansing in enteroscopy using a convolutional neural network

M. Mascarenhas, Joana Portugal Mota, Patrícia Andrade, Pedro Cardoso, Guilherme Macedo, Maria João Almeida, João Ferreira, Francisco Mendes, João Afonso, Tiago Ribeiro, Helder Cardoso, Miguel Martins
article en

Abstract

Current bowel cleanliness assessment methods are subjective and region-specific. This study presents the first CNN capable of panendoscopic bowel cleanliness evaluation during DAE, achieving high accuracy and demonstrating potential for real-time clinical application. This study marks a key step toward standardizing cleanliness assessment and endoscopy quality improvement.

Endoscopy International OpenVol. 14(CP)
Universidade do Porto (PT), Hospital de São João (PT)
Openalex Percentile: Top 83%
Colorectal Cancer Screening and Detection
DOIOpen Access PDFOpenAlex
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Automated assessment of small bowel and colon cleansing in enteroscopy using a convolutional neural network — M. Mascarenhas, Joana Portugal Mota, et al. · Endoscopy International Open (2026) | TGRS Research Map | TGRS