Abstract
Background
Neurocritical care combines the management of extremely complex disease states with
the inherent limitations of clinically assessing patients with brain injury. As the
management of neurocritical care patients can be immensely complicated, the automation
of data-collection and basic management by artificial intelligence systems have garnered
interest.
Methods
In this opinion article, we highlight the potential artificial intelligence has in
monitoring and managing several aspects of neurocritical care, specifically intracranial
pressure, seizure monitoring, blood pressure, and ventilation.
Results
The two major AI methods of analytical technique currently exist for analyzing critical
care data: the model-based method and data driven method. Both of these methods have
demonstrated an ability to analyze vast quantities of patient data, and we highlight
the ways in which these modalities of artificial intelligence might one day play a
role in neurocritical care.
Conclusions
While none of these artificial intelligence systems are meant to replace the clinician's
judgment, these systems have the potential to reduce healthcare costs and errors or
delays in medical management.
Keywords
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Article info
Publication history
Published online: June 28, 2019
Accepted:
June 22,
2019
Received in revised form:
June 16,
2019
Received:
April 28,
2019
Identification
Copyright
© 2019 Published by Elsevier B.V.
