Publication Name	World Journal of Clinical Pediatrics
Manuscript ID	107127
Country	United States

Category	Critical Care Medicine
Manuscript Type	Minireviews
Article Title	Use of continuous glucose monitoring systems in pediatric patients in the perioperative environment: challenges and machine learning opportunities
Manuscript Source	Invited Manuscript
All Author List	Tara Doherty, Ashley Kelley, Elizabeth Kim and Irim Salik
Funding Agency and Grant Number
Corresponding Author	Irim Salik, Associate Professor, MD, Department of Anesthesiology, Westchester Medical Center, 100 Woods Road, Valhalla, NY 10595, United States. irim.salik@wmchealth.org
Key Words	Continuous glucose monitor; Continuous glucose monitoring system; Type 1 diabetes mellitus; Artificial intelligence; Electronic health records
Core Tip	Continuous glucose monitoring systems (CGMS)  have become the standard of care for many diabetic patients, offering more precise disease management and reducing the risk of hypo- and hyperglycemia. While CGMs provide continuous data, their accuracy and reliability during periods of surgical stress and anesthetic agent use can be variable and warrants further research to validate their use perioperatively. AI algorithms can analyze CGM trends, detect patterns, and provide personalized insights directly within the electronic health record (EHR). This facilitates earlier interventions, improves glycemic control, and supports clinical workflows by reducing data overload.
Citation	Doherty T, Kelley A, Kim E, Salik I. Use of continuous glucose monitoring systems in pediatric patients in the perioperative environment: challenges and machine learning opportunities. World J Clin Pediatr 2025; In press

Received	2025-03-17 04:02
Peer-Review Started	2025-03-17 04:02
To Make the First Decision
Return for Revision	2025-04-03 03:13
Revised	2025-04-11 22:38
Second Decision	2025-06-04 02:38
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-06-04 09:51
Articles in Press	2025-06-04 09:51
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2219-2808 (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/
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