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Articles Published Processes
9/29/2021 11:12:00 AM | Browse: 578 | Download: 1083
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Received |
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2021-01-31 19:28 |
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Peer-Review Started |
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2021-01-31 19:36 |
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To Make the First Decision |
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Return for Revision |
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2021-03-14 05:55 |
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Revised |
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2021-05-06 00:18 |
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Second Decision |
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2021-08-31 03:34 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-08-31 09:05 |
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Articles in Press |
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2021-08-31 09:05 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2021-09-27 01:20 |
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Publish the Manuscript Online |
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2021-09-29 11:12 |
| ISSN |
1007-9327 (print) and 2219-2840 (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
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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 |
Review |
| Article Title |
Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Chrysanthos D Christou and Georgios Tsoulfas |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Georgios Tsoulfas, FACS, FICS, MD, Associate Professor, Organ Transplant Unit, Hippokration General Hospital, Aristotle University of Thessaloniki, 66 Tsimiski Street, Thessaloniki 54622, Greece. tsoulfasg@gmail.com |
| Key Words |
Artificial intelligence; Machine learning; Gastroenterology; Hepatology; Artificial neural networks; Support vector machine |
| Core Tip |
The opportunities that arise from the application of artificial intelligence/machine learning-based models in gastroenterology and hepatology include the establishment of targeted screening programs through the identification of patients prone to develop cancer, the development of non-invasive diagnostic tools, the improvement of the diagnostic accuracy, the development of treatment allocation frameworks based on predictions of outcomes for different treatment modalities, the development of models to ensure cost-effective use of resources, the development of triage tools for higher levels of care and decision-making tools for further treatment, based on individualized patient outcome predictions, and finally the development of predictive models of prognosis for patient and family counseling. |
| Publish Date |
2021-09-29 11:12 |
| Citation |
Christou CD, Tsoulfas G. Challenges and Opportunities in the application of artificial intelligence in gastroenterology and hepatology. World J Gastroenterol 2021; 27(37): 6191-6223 |
| URL |
https://www.wjgnet.com/1007-9327/full/v27/i37/6191.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v27.i37.6191 |
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