ArticleScientific reports2021
Development of a deep learning-based software for calculating cleansing score in small bowel capsule endoscopy.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Impact of a real-time automatic quality control system for magnetically controlled capsule gastroscopy: a multicenter randomized controlled trial.BMC medicine · 2026Trial
- Expected Values of Artificial Intelligence in Colon Capsule Endoscopy: Artificial Intelligence in Capsule Endoscopy Consortium Position Statement.Endoscopy international open · 2026Article
- AI-Assisted Evaluation of Colon Cleanliness in Capsule Endoscopy Videos.Diagnostics (Basel, Switzerland) · 2025Article
- Utilizing Deep Convolutional Neural Networks and Hybrid Classification for Gastrointestinal Disease Diagnosis from Capsule Endoscopy Images.Journal of biomedical physics & engineering · 2025Article
- Deep learning-based localization and lesion detection in capsule endoscopy for patients with suspected small-bowel bleeding.World journal of gastroenterology · 2025Article
- Unmet Needs of Artificial Intelligence in Small Bowel Capsule Endoscopy.Diagnostics (Basel, Switzerland) · 2025Review
- Objective Evaluation of Small Bowel Visualization Quality in Wireless Capsule Endoscopy Images Using Generative Adversarial Network.Advanced biomedical research · 2025Article
- Article
- A multi-label dataset and its evaluation for automated scoring system for cleanliness assessment in video capsule endoscopy.Physical and engineering sciences in medicine · 2024Article
- Reading of small bowel capsule endoscopy after frame reduction using an artificial intelligence algorithm.BMC gastroenterology · 2024Article
- From Data to Insights: How Is AI Revolutionizing Small-Bowel Endoscopy?Diagnostics (Basel, Switzerland) · 2024Review
- Bowel cleansing quality evaluation in colon capsule endoscopy: what is the reference standard?Therapeutic advances in gastroenterology · 2024Article
- AI-Driven Colon Cleansing Evaluation in Capsule Endoscopy: A Deep Learning Approach.Diagnostics (Basel, Switzerland) · 2023Article
- Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy.Medicina (Kaunas, Lithuania) · 2023Article
- Automatic Classification of GI Organs in Wireless Capsule Endoscopy Using a No-Code Platform-Based Deep Learning Model.Diagnostics (Basel, Switzerland) · 2023Article
- Machine learning-based prediction of symptomatic intracerebral hemorrhage after intravenous thrombolysis for stroke: a large multicenter study.Frontiers in neurology · 2023Article
- Small bowel cleanliness in capsule endoscopy: a case-control study using validated artificial intelligence algorithm.Scientific reports · 2022Article
- Small Bowel Detection for Wireless Capsule Endoscopy Using Convolutional Neural Networks with Temporal Filtering.Diagnostics (Basel, Switzerland) · 2022Article
- Recent developments in small bowel endoscopy: the "black box" is now open!Clinical endoscopy · 2022Review
- Semantic Segmentation Dataset for AI-Based Quantification of Clean Mucosa in Capsule Endoscopy.Medicina (Kaunas, Lithuania) · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A standardized small bowel (SB) cleansing scale is currently not available. The aim of this study was to develop an automated calculation software for SB cleansing score using deep learning. Consecutively performed capsule endoscopy cases were enrolled from three hospitals. A 5-step scoring system based on mucosal visibility was trained for deep learning in the training set. Performance of the trained software was evaluated in the validation set. Average cleansing score (1.0 to 5.0) by deep learning was compared to clinical grading (A to C) reviewed by clinicians. Cleansing scores decreased as clinical grading worsened (scores of 4.1, 3.5, and 2.9 for grades A, B, and C, respectively, P < 0.001). Adequate preparation was achieved for 91.7% of validation cases. The average cleansing score was significantly different between adequate and inadequate group (4.0 vs. 2.9, P < 0.001). ROC curve analysis revealed that a cut-off value of cleansing score at 3.25 had an AUC of 0.977. Diagnostic yields for small, hard-to-find lesions were associated with high cleansing scores (4.3 vs. 3.8, P < 0.001). We developed a novel scoring software which calculates objective, automated cleansing scores for SB preparation. The cut-off value we suggested provides a standard criterion for adequate bowel preparation as a quality indicator.
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