Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	73869
Country	Türkiye

Received	2021-12-06 19:22
Peer-Review Started	2021-12-06 19:24
To Make the First Decision
Return for Revision	2021-12-13 02:15
Revised	2021-12-19 13:39
Second Decision	2021-12-27 03:37
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2021-12-27 08:06
Articles in Press	2021-12-27 08:06
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-12-23 10:37
Typeset the Manuscript	2021-12-27 08:29
Publish the Manuscript Online	2021-12-27 09:53

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	Pathology
Manuscript Type	Review
Article Title	Artificial intelligence in pathological evaluation of gastrointestinal cancers
Manuscript Source	Unsolicited Manuscript
All Author List	Anil Alpsoy, Aysen Yavuz and Gulsum Ozlem Elpek
ORCID	Author(s) ORCID Number Anil Alpsoy http://orcid.org/0000-0003-4978-7652 Aysen Yavuz http://orcid.org/0000-0001-9991-5515 Gulsum Ozlem Elpek http://orcid.org/0000-0002-1237-5454
Funding Agency and Grant Number
Corresponding Author	Gulsum Ozlem Elpek, MD, Professor, Pathology, Akdeniz University Medical School, Akdeniz University Medical School, Dumlupınar bulvarı, Department of Pathology , Antalya 07070, Türkiye. elpek@akdeniz.edu.tr
Key Words	Digital image analysis; Digital pathology; Colorectal cancer; Gastric cancer; Machine learning; Deep learning
Core Tip	Recently, based on improvements in efficient computational power and learning capacities, various artificial intelligence applications, such as image-based diagnosis and prognosis prediction, have emerged in many fields of pathology. This review comprehensively summarizes the current status of artificial intelligence applications in gastrointestinal cancers. The present data are promising for the use of artificial intelligence to diagnose tumors, evaluate prognostic parameters, and detect biomarker/genetic alterations. However, many challenges hinder the implication of artificial intelligence models in real pathological practice. Therefore, these challenges and suggested solutions are also briefly presented to improve the accuracy and relevance of artificial intelligence in pathological practice, including in gastrointestinal cancers.
Publish Date	2021-12-27 09:53
Citation	Alpsoy A, Yavuz A, Elpek GO. Artificial intelligence in pathological evaluation of gastrointestinal cancers. Artif Intell Gastroenterol 2021; 2(6): 141-156
URL	https://www.wjgnet.com/2644-3236/full/v2/i6/141.htm
DOI	https://dx.doi.org/10.35712/aig.v2.i6.141

Full Article (PDF)	AIG-2-141.pdf
Full Article (Word)	AIG-2-141.docx
Manuscript File	73869_Auto_Edited-ML_WangTQ.docx
Answering Reviewers	73869-Answering reviewers.pdf
Audio Core Tip	73869-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	73869-Conflict-of-interest statement.pdf
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Peer-review Report	73869-Peer-review(s).pdf
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Scientific Editor Work List	73869-Scientific editor work list.pdf
CrossCheck Report	73869-CrossCheck report.pdf