Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	63061
Country	Türkiye

Received	2021-01-23 17:00
Peer-Review Started	2021-01-23 17:04
To Make the First Decision
Return for Revision	2021-02-10 10:23
Revised	2021-03-03 09:19
Second Decision	2021-03-15 13:15
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2021-03-16 04:03
Articles in Press	2021-03-16 04:03
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-04-04 01:08
Typeset the Manuscript	2021-04-14 08:12
Publish the Manuscript Online	2021-04-25 08:01

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) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Oncology
Manuscript Type	Review
Article Title	Artificial intelligence in rectal cancer
Manuscript Source	Invited Manuscript
All Author List	Melek Yakar and Durmus Etiz
Funding Agency and Grant Number
Corresponding Author	Melek Yakar, MD, Assistant Professor, Department of Radiation Oncology, Eskisehir Osmangazi University Faculty of Medicine, No. 4 Odunpazari, Eskisehir 26040, Türkiye. mcakcay@ogu.edu.tr
Key Words	Rectal cancer; Artificial intelligence; Deep learning; Machine learning
Core Tip	There is a growing interest in the application of artificial intelligence (AI) in healthcare to improve disease diagnosis, management, and the development of effective treatments. Considering the large number of patients diagnosed with rectum cancer and a significant amount of data, AI is an important tool to improve diagnosis, treatment, follow-up in rectal cancer, develop personalized medicine, improve the quality of life of patients and reduce unnecessary health expenses.
Publish Date	2021-04-25 08:01
Citation	Yakar M, Etiz D. Artificial intelligence in rectal cancer. Artif Intell Gastroenterol 2021; 2(2): 10-26
URL	https://www.wjgnet.com/2644-3236/full/v2/i2/10.htm
DOI	https://dx.doi.org/10.35712/aig.v2.i2.10

Full Article (PDF)	AIG-2-10.pdf
Full Article (Word)	AIG-2-10.docx
Manuscript File	63061-Review-Filipodia.docx
Answering Reviewers	63061-Answering reviewers.pdf
Audio Core Tip	63061-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	63061-Conflict-of-interest statement.pdf
Copyright License Agreement	63061-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	63061-Language certificate.pdf
Peer-review Report	63061-Peer-review(s).pdf
Scientific Misconduct Check	63061-Scientific misconduct check.pdf
Scientific Editor Work List	63061-Scientific editor work list.pdf
CrossCheck Report	63061-CrossCheck report.pdf