Yang Y, Li YX, Yao RQ, Du XH, Ren C. Artificial intelligence in small intestinal diseases: Application and prospects. World J Gastroenterol 2021; 27(25): 3734-3747 [PMID: 34321840 DOI: 10.3748/wjg.v27.i25.3734]
Corresponding Author of This Article
Chao Ren, MD, PhD, Trauma Research Center, Fourth Medical Center and Medical Innovation Research Division of the Chinese People’s Liberation Army General Hospital, No. 51 Fucheng Road, Beijing 100048, China. rc198@sina.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Review
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
World J Gastroenterol. Jul 7, 2021; 27(25): 3734-3747 Published online Jul 7, 2021. doi: 10.3748/wjg.v27.i25.3734
Artificial intelligence in small intestinal diseases: Application and prospects
Yu Yang, Yu-Xuan Li, Ren-Qi Yao, Xiao-Hui Du, Chao Ren
Yu Yang, Yu-Xuan Li, Xiao-Hui Du, Department of General Surgery, Chinese People’s Liberation Army General Hospital, Beijing 100853, China
Ren-Qi Yao, Chao Ren, Trauma Research Center, The Fourth Medical Center and Medical Innovation Research Division of the Chinese People‘s Liberation Army General Hospital, Beijing 100048, China
Ren-Qi Yao, Department of Burn Surgery, Changhai Hospital, Naval Medical University, Shanghai 200433, China
Author contributions: Yang Y searched the literature for recent advances in the field and wrote the manuscript; Yang Y, Li YX, Yao RQ and Du XH edited and revised the manuscript; Ren C designed the study; all authors approved the final version to be published.
Supported byThe National Natural Science Foundation of China, No. 81871317.
Conflict-of-interest statement: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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: Chao Ren, MD, PhD, Trauma Research Center, Fourth Medical Center and Medical Innovation Research Division of the Chinese People’s Liberation Army General Hospital, No. 51 Fucheng Road, Beijing 100048, China. rc198@sina.com
Received: January 25, 2021 Peer-review started: January 25, 2021 First decision: March 29, 2021 Revised: April 9, 2021 Accepted: May 8, 2021 Article in press: May 8, 2021 Published online: July 7, 2021 Processing time: 161 Days and 9.9 Hours
Abstract
The small intestine is located in the middle of the gastrointestinal tract, so small intestinal diseases are more difficult to diagnose than other gastrointestinal diseases. However, with the extensive application of artificial intelligence in the field of small intestinal diseases, with its efficient learning capacities and computational power, artificial intelligence plays an important role in the auxiliary diagnosis and prognosis prediction based on the capsule endoscopy and other examination methods, which improves the accuracy of diagnosis and prediction and reduces the workload of doctors. In this review, a comprehensive retrieval was performed on articles published up to October 2020 from PubMed and other databases. Thereby the application status of artificial intelligence in small intestinal diseases was systematically introduced, and the challenges and prospects in this field were also analyzed.
Core Tip: Artificial intelligence has been widely used in the management of small intestinal diseases, which has greatly improved the diagnostic efficiency of capsule endoscopy and other examination methods, and at the same time, beneficial progression has also been obtained in the prognosis prediction of small intestinal diseases. Although AI still faces risks such as overfitting and black box effects, its stability and efficiency give it great potential in the management of small intestinal diseases. This article reviews the current application status of AI in small intestinal diseases. In addition, challenges and prospects in this field are discussed.
