Clean mucosal area detection of gastroenterologists versus artificial intelligence in small bowel capsule endoscopy
@article{Ju2023CleanMA, title={Clean mucosal area detection of gastroenterologists versus artificial intelligence in small bowel capsule endoscopy}, author={Jeongwoo Ju and Hyun Sook Oh and Yeoun Joo Lee and Heechul Jung and Jonghyuck Lee and Ben Kang and Sujin Choi and Ji Hyun Kim and Kyeong Ok Kim and Yun Jin Chung}, journal={Medicine}, year={2023}, volume={102}, url={https://api.semanticscholar.org/CorpusID:256737211} }
The AI produced a relatively universal judgment that was consistent with the gastroenterologists’ judgements, and when evaluating CE images for cleanliness, the judgments of 5 gastroenterology were relatively diverse.
8 Citations
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25 References
Semantic Segmentation Dataset for AI-Based Quantification of Clean Mucosa in Capsule Endoscopy
- 2022
Medicine, Computer Science
A semantic segmentation dataset spanning 10 stages uniformly from CE images and verifying its quality using a convolutional neural network (CNN)-based algorithm is established to be ideal for an accurate and quantitative assessment of AI-based bowel cleanliness.
Meta-analysis of randomized controlled trials challenging the usefulness of purgative preparation before small-bowel video capsule endoscopy
- 2018
Medicine
The authors' analysis challenges the usefulness of purgative preparation for improving the diagnostic yield of small-bowel video capsule endoscopy and the quality ofSmall-Bowel mucosal visualization.
Quality Indicators for Capsule Endoscopy and Deep Enteroscopy
- 2022
Medicine
A task force to develop quality indicators for appropriate use of CE/DE by using a modified RAND/UCLA Appropriateness Method and identified 13 quality indicators that can be incorporated into clinical practice.
Quality performance measures for small capsule endoscopy: Are the ESGE quality standards met?
- 2021
Medicine
The present survey shows significant variability across SBCE centers; only four (4/10: 40 %) S BCE procedural minimum standards were met by a relevant proportion of the centers, which should help in identifying target areas for quality improvement programs in SBCe.
Meta-Analysis of the Effect of Bowel Preparation on Adenoma Detection: Early Adenomas Affected Stronger than Advanced Adenomas
- 2016
Medicine
Inadequate bowel preparation affects detection of early colonic lesions stronger than advanced lesions, and this effect is more relevant in some repeat colonoscopy studies; data regarding carcinoma detection were insufficient.
Evaluating a combined bowel preparation for small-bowel capsule endoscopy: a prospective randomized–controlled study
- 2020
Medicine
A bowel preparation prior to CE does not appear to improve CE performance and results in decreased patient satisfaction, and combined bowel preparation did not improve small-bowel visualization but did significantly increase patient discomfort.
Efficacy of bowel preparation regimens for colon capsule endoscopy: a systematic review and meta-analysis
- 2021
Medicine
In the largest meta-analysis on CCE bowel preparation regimens, it is found that both CRs and ACRs are suboptimal compared to the minimum recommended standards for CC.