Artificial Intelligence in Gastroenterology

被引:1
|
作者
Kather, Jakob Nikolas [1 ]
Krause, Jeremias [1 ]
Luedde, Tom [1 ]
机构
[1] Univ Klinikum Aachen, Med Klin 3, Aachen, Germany
关键词
Artificial intelligence; gastroenterology; imaging;
D O I
10.1055/a-1013-6593
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Artificial intelligence (AI) is currently transforming all aspects of our daily life, including the practice of medicine. Artificial neural networks are a key method of AI. They can very effectively detect subtle patterns in imaging data and speech or text data. This is highly relevant for the practice of gastroenterology. Here, we summarize the state of the art in AI in gastroenterology and outline major clinical applications. Our focus is on AI-based analysis of endoscopy images, non-invasive imaging and histology images. In these applications, AI can support human pattern recognition. Beyond detection and classification of pathological findings, AI can predict clinical outcome from subtle image features. © 2020 Royal Society of Chemistry. All rights reserved.
引用
收藏
页码:1450 / 1454
页数:5
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