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Artificial intelligence, capsule endoscopy, databases, and the Sword of Damocles.

作者信息

Dray Xavier, Toth Ervin, de Lange Thomas, Koulaouzidis Anastasio

机构信息

Sorbonne University, Centre for Digestive Endoscopy, Hôpital Saint Antoine, APHP, Paris, France.

Skane University Hospitals, Endoscopy Unit, Department of Gastroenterology, Malmo, Sweden.

出版信息

Endosc Int Open. 2021 Nov 12;9(11):E1754-E1755. doi: 10.1055/a-1521-4882. eCollection 2021 Nov.

DOI:10.1055/a-1521-4882
PMID:34790540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8589560/
Abstract
摘要

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本文引用的文献

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Kvasir-Capsule, a video capsule endoscopy dataset.卡瓦西胶囊内镜数据集
Sci Data. 2021 May 27;8(1):142. doi: 10.1038/s41597-021-00920-z.
2
Panenteric capsule endoscopy: a new soldier at the forefront of lower gastrointestinal bleeding workup and…beyond!
Eur J Gastroenterol Hepatol. 2021 Jul 1;33(7):947-948. doi: 10.1097/MEG.0000000000002085.
3
AI everywhere in endoscopy, not only for detection and characterization.人工智能在内窥镜检查中无处不在,不仅用于检测和特征描述。
Endosc Int Open. 2021 Apr;9(4):E627-E628. doi: 10.1055/a-1373-4799. Epub 2021 Apr 14.
4
Novel artificial intelligence-driven software significantly shortens the time required for annotation in computer vision projects.新型人工智能驱动软件显著缩短了计算机视觉项目中注释所需的时间。
Endosc Int Open. 2021 Apr;9(4):E621-E626. doi: 10.1055/a-1341-0689. Epub 2021 Apr 14.
5
Prospective evaluation of third-generation small bowel capsule endoscopy videos by independent readers demonstrates poor reproducibility of cleanliness classifications.前瞻性评估第三代小肠胶囊内镜视频由独立读者表明清洁分类的重现性差。
Clin Res Hepatol Gastroenterol. 2021 Nov;45(6):101612. doi: 10.1016/j.clinre.2020.101612. Epub 2021 Mar 16.
6
A guide for assessing the clinical relevance of findings in small bowel capsule endoscopy: analysis of 8064 answers of international experts to an illustrated script questionnaire.小肠胶囊内镜检查结果临床相关性评估指南:对一份配有插图的脚本式问卷中8064份国际专家回答的分析
Clin Res Hepatol Gastroenterol. 2021 Nov;45(6):101637. doi: 10.1016/j.clinre.2021.101637. Epub 2021 Jan 28.
7
Artificial intelligence in small bowel capsule endoscopy - current status, challenges and future promise.小肠胶囊内镜中的人工智能 - 现状、挑战与未来前景。
J Gastroenterol Hepatol. 2021 Jan;36(1):12-19. doi: 10.1111/jgh.15341.
8
A neural network-based algorithm for assessing the cleanliness of small bowel during capsule endoscopy.基于神经网络的胶囊内镜中小肠清洁程度评估算法。
Endoscopy. 2021 Sep;53(9):932-936. doi: 10.1055/a-1301-3841. Epub 2021 Jan 12.
9
Image database, AI and capsule endoscopy; the bets are on.图像数据库、人工智能与胶囊内镜检查;值得一搏。
Endosc Int Open. 2020 Mar;8(3):E421-E422. doi: 10.1055/a-1073-7726. Epub 2020 Feb 21.
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CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy.CAD-CAP:一个拥有25000张图像的数据库,用于支持胶囊内镜人工智能的开发。
Endosc Int Open. 2020 Mar;8(3):E415-E420. doi: 10.1055/a-1035-9088. Epub 2020 Feb 21.