Publication Name	World Journal of Gastroenterology
Manuscript ID	62482
Country	China

Received	2021-01-10 03:59
Peer-Review Started	2021-01-10 04:01
To Make the First Decision
Return for Revision	2021-02-11 01:50
Revised	2021-02-23 14:59
Second Decision	2021-03-16 11:59
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2021-03-16 14:53
Articles in Press	2021-03-16 14:53
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-04-08 05:09
Typeset the Manuscript	2021-04-25 03:42
Publish the Manuscript Online	2021-05-10 07:46

ISSN	1007-9327 (print) and 2219-2840 (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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Magnetic resonance imaging-based artificial intelligence model in rectal cancer
Manuscript Source	Invited Manuscript
All Author List	Pei-Pei Wang, Chao-Lin Deng and Bin Wu
ORCID	Author(s) ORCID Number Pei-Pei Wang http://orcid.org/0000-0002-2648-5283 Chao-Lin Deng http://orcid.org/0000-0003-2314-5934 Bin Wu http://orcid.org/0000-0003-0413-6987
Funding Agency and Grant Number
Corresponding Author	Bin Wu, MD, Professor, Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China. wubin0279@hotmail.com
Key Words	Artificial intelligence; Deep learning; Colorectal cancer; Magnetic resonance imaging; Radiomics
Core Tip	Recently, there has been an increase in the use of artificial intelligence (AI) models based on magnetic resonance (MR) images in locally advanced rectal cancer. MR imaging based on big datasets helps in the provision of systematic and precise medical services to patients with rectal cancer in the treatment process. This review summarizes recent research progress on the application of AI based on MR images in rectal cancer.
Publish Date	2021-05-10 07:46
Citation	Wang PP, Deng CL, Wu B. Magnetic resonance imaging-based artificial intelligence model in rectal cancer. World J Gastroenterol 2021; 27(18): 2122-2130
URL	https://www.wjgnet.com/1007-9327/full/v27/i18/2122.htm
DOI	https://dx.doi.org/10.3748/wjg.v27.i18.2122

Full Article (PDF)	WJG-27-2122.pdf
Full Article (Word)	WJG-27-2122.docx
Manuscript File	62482_Auto_Edited_LM_WangTQ.docx
Answering Reviewers	62482-Answering reviewers.pdf
Audio Core Tip	62482-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	62482-Conflict-of-interest statement.pdf
Copyright License Agreement	62482-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	62482-Language certificate.pdf
Peer-review Report	62482-Peer-review(s).pdf
Scientific Misconduct Check	62482-Bing-Yan JP-1.jpg
Scientific Misconduct Check	62482-Scientific misconduct check.pdf
Scientific Editor Work List	62482-Scientific editor work list.pdf
CrossCheck Report	62482-CrossCheck report.pdf