Publication Name	World Journal of Gastroenterology
Manuscript ID	63169
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Review
Article Title	Artificial intelligence in small intestinal diseases: Application and prospects
Manuscript Source	Invited Manuscript
All Author List	Yu Yang, Yu-Xuan Li, Ren-Qi Yao, Xiao-Hui Du and Chao Ren
Funding Agency and Grant Number	Funding Agency Grant Number National Natural Science Foundation of China 81871317
Corresponding Author	Chao Ren, MD, PhD, Professor, Trauma Research Center, The 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
Key Words	Artificial intelligence; Machine learning; Deep learning; Prognosis prediction; Small intestinal diseases
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 make it with 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.
Citation	Yang Y, Li Y, Yao R, Du X, Ren C. Artificial intelligence in small intestinal diseases: Application and prospects. World J Gastroenterol 2021; 27(25): 3734-3747

Received	2021-01-25 16:35
Peer-Review Started	2021-01-25 16:38
To Make the First Decision
Return for Revision	2021-03-29 04:48
Revised	2021-04-09 11:31
Second Decision	2021-05-08 09:22
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2021-05-08 09:58
Articles in Press	2021-05-08 09:58
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-05-29 00:54
Typeset the Manuscript	2021-06-28 07:10

ISSN	1007-9327 (print) and 2219-2840 (online)
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