From bytes to bedside: a systematic review on the use and readiness of artificial intelligence in the neonatal and pediatric intensive care unit.

Journal: Intensive care medicine
PMID: 39264415

Abstract

PURPOSE: Despite its promise to enhance patient outcomes and support clinical decision making, clinical use of artificial intelligence (AI) models at the bedside remains limited. Translation of advancements in AI research into tangible clinical benefits is necessary to improve neonatal and pediatric care for critically ill patients. This systematic review seeks to assess the maturity of AI models in neonatal and pediatric intensive care unit (NICU and PICU) treatment, and their risk of bias and objectives.

Authors

  • Janno S Schouten
    Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus MC, University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands.
  • Melissa A C M Kalden
    Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus MC, University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands.
  • Eris van Twist
    Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands.
  • Irwin K M Reiss
    Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus MC, University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands.
  • Diederik A M P J Gommers
    Datahub, Erasmus MC, University Medical Center, 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.
  • H Rob Taal
    Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus MC, University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands. H.Taal@erasmusmc.nl.

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