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4/25/2021 8:01:44 AM | Browse: 408 | Download: 834
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 Company 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.
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 Oncology
Manuscript Type Review
Article Title Artificial intelligence in rectal cancer
Manuscript Source Invited Manuscript
All Author List Melek Yakar and Durmus Etiz
ORCID
Author(s) ORCID Number
Melek Yakar http://orcid.org/0000-0002-9042-9489
Durmus Etiz http://orcid.org/0000-0002-2225-0364
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