Harnessing AI in critical care: opportunities, challenges and key steps for success.

Journal: Thorax
Published Date: Jun 15, 2025

Abstract

BACKGROUND: The integration of artificial intelligence (AI) into critical care offers significant potential to enhance early diagnosis, predict patient deterioration, personalise treatment and inform clinical decision-making. Despite this promise, AI adoption in the intensive care unit (ICU) faces challenges, as illustrated by the limited number of AI tools which have been approved for clinical use and/or successfully deployed in critical care.

Authors

  • Alexandre Kalimouttou
    Inserm UMR 1153, Centre for Research in Epidemiology and Statistics (CRESS), ECSTRRA Team, Université Paris Cité and Université Sorbonne Paris Nord, Paris, France.
  • Robert D Stevens
    Department of Anesthesia and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States; Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States; Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States.
  • Romain Pirracchio

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