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Articles Published Processes
6/18/2024 9:29:50 AM | Browse: 100 | Download: 505
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Received |
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2024-02-24 11:27 |
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Peer-Review Started |
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2024-02-24 11:27 |
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First Decision by Editorial Office Director |
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2024-04-02 19:27 |
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Return for Revision |
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2024-04-02 19:27 |
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Revised |
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2024-04-23 03:47 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-04-25 02:59 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-04-25 10:27 |
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Articles in Press |
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2024-04-25 10:27 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-05-30 08:00 |
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Publish the Manuscript Online |
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2024-06-18 09:29 |
| ISSN |
2307-8960 (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: https://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 |
Health Care Sciences & Services |
| Manuscript Type |
Editorial |
| Article Title |
Unveiling significant risk factors for intensive care unit-acquired weakness: Advancing preventive care
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Chun-Yao Cheng, Wen-Rui Hao and Tzu-Hurng Cheng |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| China Medical University |
CMU111-MF-102 |
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| Corresponding Author |
Tzu-Hurng Cheng, PhD, Professor, Department of Biochemistry, School of Medicine, College of Medicine, China Medical University, No. 91 Xueshi Road, North District, Taichung 404333, Taiwan. thcheng@mail.cmu.edu.tw |
| Key Words |
Intensive care unit-acquired weakness; Artificial intelligence; Machine learning; Neural network; Risk factors; Prediction; Critical care |
| Core Tip |
This editorial comment on the published article related to the potential of artificial intelligence (AI) and machine learning in predicting and mitigating intensive care unit-acquired weakness (ICU-AW) in critically ill patients. By identifying key risk factors and developing a predictive model, clinicians can optimize patient care and improve outcomes. Early prediction and intervention based on AI-driven insights may lead to more personalized and effective strategies for preventing ICU-AW. |
| Publish Date |
2024-06-18 09:29 |
| Citation |
Cheng CY, Hao WR, Cheng TH. Unveiling significant risk factors for intensive care unit-acquired weakness: Advancing preventive care. World J Clin Cases 2024; 12(18): 3288-3290 |
| URL |
https://www.wjgnet.com/2307-8960/full/v12/i18/3288.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v12.i18.3288 |
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