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Articles Published Processes
2/25/2022 7:34:38 AM | Browse: 289 | Download: 557
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Received |
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2021-11-21 14:29 |
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Peer-Review Started |
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2021-11-21 14:30 |
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To Make the First Decision |
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Return for Revision |
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2022-01-10 07:57 |
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Revised |
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2022-01-24 11:02 |
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Second Decision |
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2022-02-21 07:23 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2022-02-23 20:47 |
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Articles in Press |
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2022-02-23 20:47 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2022-02-15 13:11 |
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Typeset the Manuscript |
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2022-02-25 03:28 |
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Publish the Manuscript Online |
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2022-02-25 07:34 |
| 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) 2022. 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 |
Minireviews |
| Article Title |
Current advancements in application of artificial intelligence in clinical decision-making by gastroenterologists in gastrointestinal bleeding
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Hasan Maulahela and Nagita Gianty Annisa |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Hasan Maulahela, MD, Assistant Professor, Gastroenterology Division, Department of Internal Medicine, Faculty of Medicine University of Indonesia - Cipto Mangunkusumo General Central National Hospital, Jl. Pangeran Diponegoro No.71, RW.5, Kenari, Kec. Senen, Jakarta 10430, Indonesia. hasan.maulahela@yahoo.com |
| Key Words |
Gastrointestinal bleeding; Artificial intelligence; Machine learning; Artificial neural networks; Clinical decision making |
| Core Tip |
Gastrointestinal bleeding is a common problem in the emergency department. Quick and appropriate clinical decision is needed in the management of gastrointestinal bleeding. Artificial intelligence, namely machine learning and deep learning, can utilize electronic health record data to provide insights which might help clinicians, especially gastroenterologists, in the management of gastrointestinal bleeding. The present review will discuss the roles of artificial intelligence in clinical prediction and management of gastrointestinal bleeding, and compare them to conventional methods. This review will also discuss challenges in the implementation of artificial intelligence in routine practice. |
| Publish Date |
2022-02-25 07:34 |
| Citation |
Maulahela H, Annisa NG. Current advancements in application of artificial intelligence in clinical decision-making by gastroenterologists in gastrointestinal bleeding. Artif Intell Gastroenterol 2022; 3(1): 13-20 |
| URL |
https://www.wjgnet.com/2644-3236/full/v3/i1/13.htm |
| DOI |
https://dx.doi.org/10.35712/aig.v3.i1.13 |
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