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Application of Artificial Intelligence in Gastrointestinal Disease: a Narrative Review by Jun Zhou; Na Hu; Zhi-Yin Huang; Bin Song; Chun-Cheng Wu; Fan-Xin Zeng; Min Wu is a Medicine article available to read on EtoBox.

What is Application of Artificial Intelligence in Gastrointestinal Disease: a Narrative Review about?

## Objective We collected evidence on the application of artificial intelligence (AI) in gastroenterology field. The review was carried out from two aspects of endoscopic types and gastrointestinal diseases, and briefly summarized the challenges and future directions in this field. ## Background Due to the advancement of computational power and a surge of available data, a solid foundation has been laid for the growth of AI. Specifically, varied machine learning (ML) techniques have been emerging in endoscopic image analysis. To improve the accuracy and efficiency of clinicians, AI has been widely applied to gastrointestinal endoscopy. ## Methods PubMed electronic database was searched using the keywords containing “AI”, “ML”, “deep learning (DL)”, “convolution neural network”, “endoscopy (such as white light endoscopy (WLE), narrow band imaging (NBI) endoscopy, magnifying endoscopy with narrow band imaging (ME-NBI), chromoendoscopy, endocytoscopy (EC), and capsule endoscopy (CE))”. Search results were assessed for relevance and then used for detailed discussion. ## Conclusions This review described the basic knowledge of AI, ML, and DL, and summarizes the application of AI in vari

Who reads Application of Artificial Intelligence in Gastrointestinal Disease: a Narrative Review?

Author

Jun Zhou; Na Hu; Zhi-Yin Huang; Bin Song; Chun-Cheng Wu; Fan-Xin Zeng; Min Wu

Publisher

AME Publishing Company

Published

2021

Language

EN

Field

Medicine (Health Sciences)