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Articles Published Processes
7/6/2021 11:59:03 PM | Browse: 526 | Download: 838
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Received |
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2021-02-10 22:35 |
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Peer-Review Started |
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2021-02-10 22:37 |
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To Make the First Decision |
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Return for Revision |
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2021-03-17 03:30 |
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Revised |
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2021-03-17 18:08 |
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Second Decision |
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2021-07-02 09:18 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-07-02 12:01 |
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Articles in Press |
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2021-07-02 12:01 |
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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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2021-07-05 07:38 |
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Publish the Manuscript Online |
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2021-07-06 23:59 |
| ISSN |
2220-3141(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 |
Critical Care Medicine |
| Manuscript Type |
Minireviews |
| Article Title |
Predictive modeling in neurocritical care using causal artificial intelligence
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Johnny Dang, Amos Lal, Laure Flurin, Amy James, Ognjen Gajic and Alejandro A Rabinstein |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Amos Lal, FACP, MBBS, Doctor, Doctor, Department of Medicine, Division of Pulmonary and Critical Care Medicine, Multidisciplinary Epidemiology and Translational Research in Intensive Care, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States. lal.amos@mayo.edu |
| Key Words |
Artificial intelligence; Digital twin; Critical care; Neurology; Causal artificial intelligence; Predictive modeling |
| Core Tip |
The modern clinical environment is increasingly surrounded by data. The existing literature is sparse concerning the creation of a “digital twin” artificial intelligence (AI) model as a tool for education and potentially clinical decision making in the neurologic intensive care unit setting. This mini review will give readers an introduction to applications of AI inside and outside of healthcare, the idea of the “digital twin” as a model of disease, how AI has been applied in neurocritical care, and methodology for building a neurocritical care digital twin AI model that is based on a solid understanding of underlying pathophysiology. |
| Publish Date |
2021-07-06 23:59 |
| Citation |
Dang J, Lal A, Flurin L, James A, Gajic O, Rabinstein AA. Predictive modeling in neurocritical care using causal artificial intelligence. World J Crit Care Med 2021; 10(4): 112-119 |
| URL |
https://www.wjgnet.com/2220-3141/full/v10/i4/112.htm |
| DOI |
https://dx.doi.org/ 10.5492/wjccm.v10.i4.112 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
