Application of artificial intelligence in gastrointestinal disease: a narrative review.

ABSTRACT:

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"

SUBMITTER: Zhou J 

PROVIDER: S-EPMC8350704 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature