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Articles Published Processes
2/20/2024 9:40:11 AM | Browse: 149 | Download: 370
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Received |
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2023-10-21 17:46 |
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Peer-Review Started |
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2023-10-21 17:47 |
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To Make the First Decision |
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Return for Revision |
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2023-12-07 07:37 |
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Revised |
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2023-12-07 10:22 |
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Second Decision |
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2023-12-19 02:57 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-12-26 07:25 |
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Articles in Press |
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2023-12-26 07:25 |
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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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2024-01-03 07:49 |
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Publish the Manuscript Online |
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2024-02-20 09:40 |
ISSN |
2689-7164 (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) 2024. 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 |
Critical Care Medicine |
Manuscript Type |
Minireviews |
Article Title |
Artificial intelligence: Applications in critical care gastroenterology
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Manuscript Source |
Invited Manuscript |
All Author List |
Deven Juneja |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Deven Juneja, Visiting Professor, MBBS, Director, Director, Department of Critical Care Medicine, Max Super Speciality Hospital, 1 Press Enclave Road, Saket, New Delhi 110017, India. devenjuneja@gmail.com |
Key Words |
Artificial intelligence; Critical care; Gastroenterology; Hepatology; Intensive care unit; Machine learning |
Core Tip |
The scope and applications of artificial intelligence (AI) are rapidly increasing. It is being increasingly applied in various fields, even in healthcare settings. The data generated by critically ill patients admitted in intensive care units (ICUs) is huge, which may be helpful in developing AI algorithms aimed to aid in their management. Patients with primary gastrointestinal diseases may frequently require ICU admission for management of advanced disease or related complications. Use of AI may aid the critical care physicians in managing such patients by helping in early diagnosis, prediction of complications, assessing response to therapy and overall prognostication. |
Publish Date |
2024-02-20 09:40 |
Citation |
Juneja D. Artificial intelligence: Applications in critical care gastroenterology. Artif Intell Gastrointest Endosc 2024; 5(1): 89138 |
URL |
https://www.wjgnet.com/2689-7164/full/v5/i1/89138.htm |
DOI |
https://dx.doi.org/10.37126/aige.v5.i1.89138 |
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