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Articles Published Processes
7/18/2025 3:29:41 PM | Browse: 10 | Download: 58
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Received |
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2025-04-09 10:09 |
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Peer-Review Started |
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2025-04-09 10:10 |
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To Make the First Decision |
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Return for Revision |
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2025-04-17 02:40 |
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Revised |
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2025-04-29 05:59 |
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Second Decision |
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2025-06-03 02:53 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-06-03 12:03 |
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Articles in Press |
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2025-06-03 12:03 |
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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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2025-07-03 01:55 |
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Publish the Manuscript Online |
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2025-07-18 15:29 |
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) 2025. 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 |
Predicting weaning failure from invasive mechanical ventilation: The promise and pitfalls of clinical prediction scores
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Maneesh Gaddam, Dedeepya Gullapalli, Zayaan A Adrish, Arnav Y Reddy and Muhammad Adrish |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Muhammad Adrish, Associate Professor, Section of Pulmonary and Critical Care Medicine, Ben Taub Hospital/Baylor College of Medicine, 1504 Taub Loop, Houston, TX 77030, United States. aadrish@gmail.com |
Key Words |
Mechanical ventilation; Weaning; Prediction models; Artificial intelligence; Respiratory failure |
Core Tip |
This paper aims to review the roles and limitations of clinical prediction scores in guiding ventilator weaning decisions. It highlights the variability in score performance, the need for population-specific validation, and explores the emerging potential of artificial intelligence-driven models to enhance accuracy, personalization, and safety in invasive mechanical ventilation liberation. |
Publish Date |
2025-07-18 15:29 |
Citation |
<p>Gaddam M, Gullapalli D, Adrish ZA, Reddy AY, Adrish M. Predicting weaning failure from invasive mechanical ventilation: The promise and pitfalls of clinical prediction scores. <i>World J Crit Care Med</i> 2025; 14(3): 108272</p> |
URL |
https://www.wjgnet.com/2220-3141/full/v14/i3/108272.htm |
DOI |
https://dx.doi.org/10.5492/wjccm.v14.i3.108272 |
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