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Articles Published Processes
1/16/2023 6:02:17 AM | Browse: 267 | Download: 689
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Received |
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2022-09-21 02:20 |
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Peer-Review Started |
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2022-09-21 02:21 |
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To Make the First Decision |
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Return for Revision |
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2022-10-12 10:16 |
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Revised |
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2022-10-21 06:20 |
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Second Decision |
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2022-11-10 03:33 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-11-14 17:59 |
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Articles in Press |
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2022-11-14 17:59 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2023-01-09 17:13 |
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Typeset the Manuscript |
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2023-01-10 23:46 |
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Publish the Manuscript Online |
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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. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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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 |
Observational Study |
Article Title |
Detection of colorectal adenomas by using artificial intelligence models in patients with chronic hepatitis C
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Yuvaraj Singh, Maya Gogtay, Anuroop Yekula, Aakriti Soni, Ajay Kumar Mishra, Kartikeya Tripathi and GM Abraham |
ORCID |
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Funding Agency and Grant Number |
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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 |
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