Role of artificial intelligence and point of care ultrasound in management of critically ill patients

doi:10.5492/wjccm.v15.i2.114201

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World Journal of Critical Care Medicine

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2220-3141

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Crit Care Med. Jun 9, 2026; 15(2): 114201
Published online Jun 9, 2026. doi: 10.5492/wjccm.v15.i2.114201

Role of artificial intelligence and point of care ultrasound in management of critically ill patients

Arun Muthukumar, Alexander Schreck, Carlos E Guerra-Londono, Abdul Kader Tabbara, Santiago Uribe-Marquez

Arun Muthukumar, Carlos E Guerra-Londono, Abdul Kader Tabbara, Santiago Uribe-Marquez, Department of Anesthesiology, Henry Ford Hospital, Detroit, MI 48202, United States

Alexander Schreck, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, United States

Author contributions: Muthukumar A was responsible for manuscript original draft, editing, resources, and conceptualization; Schreck A was responsible for manuscript original draft, editing, and resources; Guerra-Londono CE was responsible for manuscript original draft and conceptualization; Tabbara AK was responsible for manuscript original draft and editing; Uribe-Marquez S was responsible for manuscript editing and conceptualization; all of the authors read and approved the final version of the manuscript to be published.

AI contribution statement: No AI tools including ChatGPT, Grammarly and DeepL were used in the preparation of this manuscript.

Conflict-of-interest statement: All authors declare no conflict of interest in publishing the manuscript.

Corresponding author: Arun Muthukumar, MD, Department of Anesthesiology, Henry Ford Hospital, 2799 W Grand Blvd, Detroit, MI 48202, United States. amarimu1@hfhs.org

Received: September 15, 2025
Revised: November 10, 2025
Accepted: January 19, 2026
Published online: June 9, 2026
Processing time: 250 Days and 4.1 Hours

Core Tip

Core Tip: By synthesizing the latest evidence, our article provides critical care practitioners and researchers with a comprehensive overview of how artificial intelligence-enhanced point of care ultrasound can transform bedside decision-making, improve patient outcomes, and expand access to high-quality care worldwide.