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4/26/2021 11:27:56 AM | Browse: 361 | Download: 732
Publication Name Artificial Intelligence in Cancer
Manuscript ID 66292
Country Italy
Received
2021-03-24 20:36
Peer-Review Started
2021-03-24 20:42
To Make the First Decision
Return for Revision
2021-03-26 03:18
Revised
2021-04-01 21:14
Second Decision
2021-04-19 08:47
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-04-20 04:57
Articles in Press
2021-04-20 04:57
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2021-04-25 04:29
Publish the Manuscript Online
2021-04-26 11:27
ISSN 2644-3228 (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 Gastroenterology & Hepatology
Manuscript Type Editorial
Article Title Artificial intelligence and colorectal cancer: How far can you go?
Manuscript Source Invited Manuscript
All Author List Rita Alloro and Emanuele Sinagra
ORCID
Author(s) ORCID Number
Rita Alloro http://orcid.org/0000-0003-1237-3878
Emanuele Sinagra http://orcid.org/0000-0002-8528-0384
Funding Agency and Grant Number
Corresponding Author Emanuele Sinagra, PhD, Attending Doctor, Gastroenterology and Endoscopy Unit, Fondazione Istituto G. Giglio, Contrada Pietrapollastra Pisciotto, Cefalù, Palermo 90015, Italy. emanuelesinagra83@googlemail.com
Key Words Artificial intelligence; Colorectal cancer; Diagnosis; Treatment; Prognosis
Core Tip In this editorial, we would like to highlight and summarize the research progress and clinical application value of artificial intelligence in the diagnosis, treatment, and prognosis of colorectal cancer to provide evidence for its use as a promising diagnostic and therapeutic tool in this setting.
Publish Date 2021-04-26 11:27
Citation Alloro R, Sinagra E. Artificial intelligence and colorectal cancer: How far can you go? Artif Intell Cancer 2021; 2(2): 7-11
URL https://www.wjgnet.com/2644-3228/full/v2/i2/7.htm
DOI https://dx.doi.org/10.35713/aic.v2.i2.7
Full Article (PDF) AIC-2-7.pdf
Full Article (Word) AIC-2-7.docx
Manuscript File 66292_Auto_Edited.docx
Answering Reviewers 66292-Answering reviewers.pdf
Audio Core Tip 66292-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 66292-Conflict-of-interest statement.pdf
Copyright License Agreement 66292-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 66292-Language certificate.pdf
Peer-review Report 66292-Peer-review(s).pdf
Scientific Misconduct Check 66292-Scientific misconduct check.pdf
Scientific Editor Work List 66292-Scientific editor work list.pdf