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Artif Intell Gastrointest Endosc. Apr 28, 2021; 2(2): 25-35
Published online Apr 28, 2021. doi: 10.37126/aige.v2.i2.25
Application of artificial intelligence to endoscopy on common gastrointestinal benign diseases
Hang Yang, Bing Hu
Hang Yang, Bing Hu, Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
Author contributions: All authors participated in the work; Yang H contributed to the design and draft of the manuscript; Hu B contributed to reviewing the manuscript; Yang H and Bing H contributed to revising the manuscript.
Supported by the 1·3·5 Project for Disciplines of Excellence Clinical Research Incubation Project, West China Hospital, Sichuan University, China, No. 20HXFH016.
Conflict-of-interest statement: The authors declare that they have no competing interests.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Bing Hu, MBBS, MD, Professor, Department of Gastroenterology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Wu Hou District, Chengdu 610041, Sichuan Province, China. hubingnj@163.com
Received: March 5, 2021
Peer-review started: March 5, 2021
First decision: March 14, 2021
Revised: March 17, 2021
Accepted: April 20, 2021
Article in press: April 20, 2021
Published online: April 28, 2021
Abstract

Artificial intelligence (AI) has been widely involved in every aspect of healthcare in the preclinical stage. In the digestive system, AI has been trained to assist auxiliary examinations including histopathology, endoscopy, ultrasonography, computerized tomography, and magnetic resonance imaging in detection, diagnosis, classification, differentiation, prognosis, and quality control. In the field of endoscopy, the application of AI, such as automatic detection, diagnosis, classification, and invasion depth, in early gastrointestinal (GI) cancers has received wide attention. There is a paucity of studies of AI application on common GI benign diseases based on endoscopy. In the review, we provide an overview of AI applications to endoscopy on common GI benign diseases including in the esophagus, stomach, intestine, and colon. It indicates that AI will gradually become an indispensable part of normal endoscopic detection and diagnosis of common GI benign diseases as clinical data, algorithms, and other related work are constantly repeated and improved.

Keywords: Artificial intelligence, Endoscopy, Common gastrointestinal benign diseases

Core Tip: In endoscopy, the application of artificial intelligence in early gastrointestinal cancer has been widely concerned. We provide a general conclusion of artificial intelligence endoscopy applications in common gastrointestinal benign diseases, such as Barrett’s esophagus, atrophic gastritis, and colonic polyp. Studies indicate high accuracies and efficiencies. Further related work is needed to boost the real application of artificial intelligence in common gastrointestinal benign diseases in the future.