Publication Name	World Journal of Hepatology
Manuscript ID	80269
Country	United States

Received	2022-09-21 02:20
Peer-Review Started	2022-09-21 02:21
To Make the First Decision
Return for Revision	2022-10-12 10:16
Revised	2022-10-21 06:20
Second Decision	2022-11-10 03:33
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-11-14 17:59
Articles in Press	2022-11-14 17:59
Publication Fee Transferred
Edit the Manuscript by Language Editor	2023-01-09 17:13
Typeset the Manuscript	2023-01-10 23:46
Publish the Manuscript Online	2023-01-16 06:02

ISSN	1948-5182 (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) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Gastroenterology & Hepatology
Manuscript Type	Observational Study
Article Title	Detection of colorectal adenomas by using artificial intelligence models in patients with chronic hepatitis C
Manuscript Source	Unsolicited Manuscript
All Author List	Yuvaraj Singh, Maya Gogtay, Anuroop Yekula, Aakriti Soni, Ajay Kumar Mishra, Kartikeya Tripathi and GM Abraham
ORCID	Author(s) ORCID Number Yuvaraj Singh http://orcid.org/0000-0003-4970-8870 Maya Gogtay http://orcid.org/0000-0001-9955-7121 Anuroop Yekula http://orcid.org/0000-0002-3564-4901 Aakriti Soni http://orcid.org/0000-0001-9732-2898 Ajay Kumar Mishra http://orcid.org/0000-0003-4862-5053 GM Abraham http://orcid.org/0000-0003-4296-8362
Funding Agency and Grant Number
Corresponding Author	Yuvaraj Singh, MD, Staff Physician, Department of Internal Medicine, Saint Vincent Hospital, 123 Summer Street, Worcester, MA 01608, United States. yuvarajmle@gmail.com
Key Words	Machine learning; Calculator; Artificial intelligence; Hepatitis C; Screening
Core Tip	Hepatitis C is associated with a wide array of extra-hepatic manifestations. In this study, we evaluated the incidence of colorectal adenomas and adenoma detection rates in hepatitis C patients. We developed an artificial intelligence-based tool to guide physicians in the detection and diagnosis of pre-malignant and malignant colorectal pathologies in these patient populations.
Publish Date	2023-01-16 06:02
Citation	Singh Y, Gogtay M, Yekula A, Soni A, Mishra AK, Tripathi K, Abraham G. Detection of colorectal adenomas by using artificial intelligence models in patients with chronic hepatitis C. World J Hepatol 2023; 15(1): 107-115
URL	https://www.wjgnet.com/1948-5182/full/v15/i1/107.htm
DOI	https://dx.doi.org/10.4254/wjh.v15.i1.107

Full Article (PDF)	WJH-15-107.pdf
Full Article (Word)	WJH-15-107.docx
Manuscript File	80269_Auto_Edited-LM-Language editing-Webster J-Clear.docx
Answering Reviewers	80269-Answering reviewers.pdf
Audio Core Tip	80269-Audio core tip.mp3
Biostatistics Review Certificate	80269-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form	80269-Conflict-of-interest statement.pdf
Copyright License Agreement	80269-Copyright license agreement.pdf
Signed Informed Consent Form(s) or Document(s)	80269-Informed consent statement.pdf
Institutional Review Board Approval Form or Document	80269-Institutional review board statement.pdf
Peer-review Report	80269-Peer-review(s).pdf
Scientific Misconduct Check	80269-Bing-Wang JJ-2.png
Scientific Editor Work List	80269-Scientific editor work list.pdf