Publication Name	World Journal of Clinical Cases
Manuscript ID	93782
Country	United States

Category	Critical Care Medicine
Manuscript Type	Editorial
Article Title	Advancing critical care recovery: The pivotal role of machine learning in early detection of intensive care unit-acquired weakness
Manuscript Source	Invited Manuscript
All Author List	Georges Khattar and Elie Bou Sanayeh
Funding Agency and Grant Number
Corresponding Author	Elie Bou Sanayeh, MD, Doctor, Doctor, Department of Medicine, Staten Island University Hospital, 475 Seaview Avenue, Staten Island, NY 10305, United States. elie.h.bousanayeh@gmail.com
Key Words	Critical illness myopathy; Critical illness polyneuropathy; Early detection; Intensive care unit-acquired weakness; Neural network models; Patient outcomes; Personalized intervention strategies; Predictive modeling
Core Tip	Intensive care unit-acquired weakness (ICU-AW) significantly impacts patient recovery and healthcare costs, affecting a broad spectrum of critically ill patients. Timely detection and prevention are essential in managing this condition effectively. Early and precise prediction, facilitated by advanced methodologies such as neural network models exemplified by Wang et al's study, represent pivotal advancements in addressing ICU-AW. These models offer enhanced early detection and facilitate tailored intervention strategies, underscoring the imperative for ongoing research to refine their accuracy and applicability. This editorial emphasizes the critical role of predictive tools in improving patient outcomes in critical care, highlighting the urgency of developing and validating sophisticated models to proactively manage ICU-AW.
Citation	<p>Khattar G, Bou Sanayeh E. Advancing critical care recovery: The pivotal role of machine learning in early detection of intensive care unit-acquired weakness. <i>World J Clin Cases</i> 2024; 12(21): 4455-4459</p>

Received	2024-03-05 10:07
Peer-Review Started	2024-03-05 10:07
To Make the First Decision
Return for Revision	2024-05-04 05:52
Revised	2024-05-14 07:04
Second Decision	2024-05-27 02:46
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-05-27 08:31
Articles in Press	2024-05-27 08:31
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-05-31 09:14

ISSN	2307-8960 (online)
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