Use of artificial intelligence in critical care: opportunities and obstacles.

Journal: Critical care (London, England)
PMID: 38589940

Abstract

BACKGROUND: Perhaps nowhere else in the healthcare system than in the intensive care unit environment are the challenges to create useful models with direct time-critical clinical applications more relevant and the obstacles to achieving those goals more massive. Machine learning-based artificial intelligence (AI) techniques to define states and predict future events are commonplace activities of modern life. However, their penetration into acute care medicine has been slow, stuttering and uneven. Major obstacles to widespread effective application of AI approaches to the real-time care of the critically ill patient exist and need to be addressed.

Authors

  • Michael R Pinsky
    Cardiopulmonary Research Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.
  • Armando Bedoya
    Algorithm-Based Clinical Decision Support (ABCDS) Oversight, Office of Vice Dean of Data Science, School of Medicine, Duke University, Durham, NC, 27705, USA.
  • Azra Bihorac
    Department of Medicine, University of Florida, Gainesville, FL USA.
  • Leo Celi
    Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Matthew Churpek
    Department of Medicine, University of Chicago, Chicago, IL, United States of America.
  • Nicoleta J Economou-Zavlanos
    Duke University School of Medicine, Durham, North Carolina, USA.
  • Paul Elbers
    Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AII), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • Suchi Saria
    Department of Computer Science, Johns Hopkins University, Baltimore, MD.
  • Vincent Liu
    Department of Medicine, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Road, Mail Code UHN67, Portland, OR, 97239-3098, USA.
  • Patrick G Lyons
    Department of Medicine, Division of Pulmonary and Critical Care Medicine, Washington University School of Medicine in St Louis, 660 South Euclid Avenue, MSC 8052-43-14, St. Louis, MO 63110-1010, USA; Healthcare Innovation Lab, BJC HealthCare, St Louis, MO, USA.
  • Benjamin Shickel
    Department of Medicine, University of Florida, Gainesville, FL USA.
  • Patrick Toral
    Department of Intensive Care, Amsterdam UMC, Amsterdam, NL, USA.
  • David Tscholl
    Institute of Anesthesiology, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.
  • Gilles Clermont
    Cardiopulmonary Research Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.

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