Machine Learning Based Prediction of Imminent ICP Insults During Neurocritical Care of Traumatic Brain Injury.

Journal: Neurocritical care
PMID: 39322847

Abstract

BACKGROUND: In neurointensive care, increased intracranial pressure (ICP) is a feared secondary brain insult in traumatic brain injury (TBI). A system that predicts ICP insults before they emerge may facilitate early optimization of the physiology, which may in turn lead to stopping the predicted ICP insult from occurring. The aim of this study was to evaluate the performance of different artificial intelligence models in predicting the risk of ICP insults.

Authors

  • Peter Galos
    Division of Neurosurgery, Department of Medical Sciences, Uppsala University, Uppsala, Sweden. peter.galos@neuro.uu.se.
  • Ludvig Hult
    Division of Systems and Control, Department of Information Technology, Uppsala University, Uppsala, Sweden.
  • Dave Zachariah
    Division of Systems and Control, Department of Information Technology, Uppsala University, Uppsala, Sweden.
  • Anders Lewén
    Division of Neurosurgery, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Anders Hånell
    Division of Neurosurgery, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Timothy Howells
    Division of Neurosurgery, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Thomas B Schön
    Division of Systems and Control, Department of Information Technology (T.B.S.), Uppsala University, Sweden.
  • Per Enblad
    Division of Neurosurgery, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.

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