Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit.

Journal: Intensive care medicine
PMID: 34089064

Abstract

PURPOSE: Due to the increasing demand for intensive care unit (ICU) treatment, and to improve quality and efficiency of care, there is a need for adequate and efficient clinical decision-making. The advancement of artificial intelligence (AI) technologies has resulted in the development of prediction models, which might aid clinical decision-making. This systematic review seeks to give a contemporary overview of the current maturity of AI in the ICU, the research methods behind these studies, and the risk of bias in these studies.

Authors

  • Davy van de Sande
    Erasmus MC Datahub, Erasmus University Medical Centre, Rotterdam, the Netherlands; Department of Adult Intensive Care, Erasmus University Medical Centre, Rotterdam, the Netherlands.
  • Michel E van Genderen
    Erasmus MC Datahub, Erasmus University Medical Centre, Rotterdam, the Netherlands; Department of Adult Intensive Care, Erasmus University Medical Centre, Rotterdam, the Netherlands.
  • Joost Huiskens
    SAS Institute B.V, Huizen, The Netherlands.
  • Diederik Gommers
    Erasmus MC Datahub, Erasmus University Medical Centre, Rotterdam, the Netherlands; Department of Adult Intensive Care, Erasmus University Medical Centre, Rotterdam, the Netherlands.
  • Jasper van Bommel
    Department of Adult Intensive Care, Erasmus MC University Medical Center, Room Ne-413, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.

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