Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	56970
Country	China

Received	2020-05-27 06:47
Peer-Review Started	2020-05-27 06:47
To Make the First Decision
Return for Revision	2020-08-09 13:27
Revised	2020-08-22 15:26
Second Decision	2020-08-27 01:08
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2020-08-27 01:47
Articles in Press	2020-08-27 01:47
Publication Fee Transferred
Edit the Manuscript by Language Editor	2020-08-29 08:03
Typeset the Manuscript	2020-09-04 00:55
Publish the Manuscript Online	2020-09-07 09:25

ISSN	2644-3236 (online)
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/
Copyright	© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com

Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Minireviews
Article Title	Diagnostic advances of artificial intelligence and radiomics in gastroenterology
Manuscript Source	Invited Manuscript
All Author List	Pei Feng, Zhen-Dong Wang, Wei Fan, Heng Liu and Jing-Jing Pan
Funding Agency and Grant Number
Corresponding Author	Jing-Jing Pan, MD, Associate Chief Physician, Department of Radiology, PLA Rocket Force Characteristic Medical Center, No. 16 Xinwai Street, Beijing 100088, China. panjingjing3969@sina.com
Key Words	Artificial intelligence; Radiomics; Texture analysis; Gastroenterology; Esophageal disease; Gastric diseases
Core Tip	This minireview summarizes the research and application of artificial intelligence (AI) technology, radiomics and texture analysis in gastrointestinal diseases in detail and focuses on the diagnostic advances of AI and radiomics in lesion detection, differential diagnosis, decision of treatment plans, assessment of therapeutic efficacy, tumor response to treatment, and prognosis prediction of gastrointestinal diseases. This technology can provide more valuable information to allow clinicians and radiologists to understand and perform AI and radiomics in their clinical practice.
Publish Date	2020-09-07 09:25
Citation	Feng P, Wang ZD, Fan W, Liu H, Pan JJ. Diagnostic advances of artificial intelligence and radiomics in gastroenterology. Artif Intell Gastroenterol 2020; 1(2): 37-50
URL	https://www.wjgnet.com/2644-3236/full/v1/i2/37.htm
DOI	https://dx.doi.org/10.35712/aig.v1.i2.37

Full Article (PDF)	AIG-1-37.pdf
Full Article (Word)	AIG-1-37.docx
Manuscript File	56970-Review_Edited.docx
Answering Reviewers	56970-Answering reviewers.pdf
Audio Core Tip	56970-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	56970-Conflict-of-interest statement.pdf
Copyright License Agreement	56970-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	56970-Language certificate.pdf
Peer-review Report	56970-Peer-review(s).pdf
Scientific Misconduct Check	56970-Scientific misconduct check.pdf
Scientific Editor Work List	56970-Scientific editor work list.pdf