Artificial intelligence-driven decision support for patients with acute respiratory failure: a scoping review.

Journal: Intensive care medicine experimental
Published Date: Aug 8, 2025

Abstract

BACKGROUND: Artificial intelligence (AI) has emerged as a promising tool for decision support in managing acute respiratory failure, yet its real-world clinical impact remains unclear. This scoping review identifies clinically validated AI-driven tools in this domain, focusing on the reporting of key evaluation quality measures that are a prerequisite for broader deployment.

Authors

  • Preeti Gupta
    Scripps Research, La Jolla, CA, USA. prgupta@scripps.edu.
  • Alex K Pearce
    Division of Pulmonary, Critical Care, Sleep Medicine, and Physiology, University of California San Diego, La Jolla, CA, USA. apearce@health.ucsd.edu.
  • Thaidan Pham
    University of California San Diego, San Diego, CA, USA.
  • Michael Miller
    Department of Electrical and Computer Engineering, Air Force Institute of Technology, Wright-Patterson Air Force Base, OH 45433, USA.
  • Korey Brunetti
    Scripps Research, La Jolla, CA, USA.
  • Karen Heskett
    University of California San Diego, San Diego, CA, USA.
  • Atul Malhotra
    Division of Pulmonary, Critical Care, and Sleep Medicine, University of California, San Diego, La Jolla, CA. Electronic address: amalhotra@health.ucsd.edu.
  • Anoop Mayampurath
    Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States.
  • Majid Afshar
    Loyola University Chicago, Chicago, IL.

Keywords

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