Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	57853
Country	Italy

Received	2020-06-29 19:38
Peer-Review Started	2020-06-29 19:38
To Make the First Decision
Return for Revision	2020-08-01 07:23
Revised	2020-09-25 15:19
Second Decision	2020-09-27 01:30
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2020-09-27 01:58
Articles in Press	2020-09-27 01:58
Publication Fee Transferred
Edit the Manuscript by Language Editor	2020-09-28 16:48
Typeset the Manuscript	2020-09-29 02:35
Publish the Manuscript Online	2020-09-29 05:02

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	Oncology
Manuscript Type	Minireviews
Article Title	Artificial intelligence for the study of colorectal cancer tissue slides
Manuscript Source	Invited Manuscript
All Author List	Vincenzo Formica, Cristina Morelli, Silvia Riondino, Nicola Renzi, Daniele Nitti and Mario Roselli
ORCID	Author(s) ORCID Number Vincenzo Formica http://orcid.org/0000-0002-5380-3144 Cristina Morelli http://orcid.org/0000-0003-1797-7259 Silvia Riondino http://orcid.org/0000-0002-2965-402X Nicola Renzi http://orcid.org/0000-0002-9385-2178 Daniele Nitti http://orcid.org/0000-0003-0348-8112 Mario Roselli http://orcid.org/0000-0002-2431-6689
Funding Agency and Grant Number
Corresponding Author	Vincenzo Formica, MD, PhD, Chief Doctor, Department of Systems Medicine, Medical Oncology Unit, Tor Vergata University Hospital, Viale Oxford 81, Rome 00133, Italy. vincenzo.formica@uniroma2.it
Key Words	Artificial intelligence; Colorectal cancer; Digital pathology; Deep learning; Machine learning; Tumor-infiltrating lymphocytes
Core Tip	Artificial intelligence (AI) is incredibly gaining momentum as companion diagnostic in a number of fields in oncology. In the present mini-review we summarize main uses and findings of AI applied to the analysis of digital histopathological images of slides from colorectal cancer patients.
Publish Date	2020-09-29 05:02
Citation	Formica V, Morelli C, Riondino S, Renzi N, Nitti D, Roselli M. Artificial intelligence for the study of colorectal cancer tissue slides. Artif Intell Gastroenterol 2020; 1(3): 51-59
URL	https://www.wjgnet.com/2644-3236/full/v1/i3/51.htm
DOI	https://dx.doi.org/10.35712/aig.v1.i3.51

Full Article (PDF)	AIG-1-51.pdf
Full Article (Word)	AIG-1-51.docx
Manuscript File	57853-Review-Filipodia.docx
Answering Reviewers	57853-Answering reviewers.pdf
Audio Core Tip	57853-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	57853-Conflict-of-interest statement.pdf
Copyright License Agreement	57853-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	57853-Language certificate.pdf
Peer-review Report	57853-Peer-review(s).pdf
Scientific Misconduct Check	57853-Scientific misconduct check.pdf
Scientific Editor Work List	57853-Scientific editor work list.pdf