The utilization of Artificial Intelligence (AI) and Machine Learning (ML) is paving the way for
significant strides in patient diagnosis, treatment, and prognostication in neurocritical care …

Abstract Purpose of Review Neurocritical care combines the complexity of both medical and
surgical disease states with the inherent limitations of assessing patients with neurologic …

Artificial intelligence (AI) will inevitably infiltrate and increasingly influence clinical practice
and research in neurocritical care. The question is no longer whether or even when this will …

Background Neurocritical care combines the management of extremely complex disease
states with the inherent limitations of clinically assessing patients with brain injury. As the …

Defining reliable tools for early prediction of outcome is the main target for physicians to
guide care decisions in patients with brain injury. The application of machine learning (ML) …

The neurological ICU (neuro ICU) often suffers from significant limitations due to scarce
resource availability for their neurocritical care patients. Neuro ICU patients require frequent …

Big data (BD) and artificial intelligence (AI) have increasingly been used in neurocritical
care.“BD” can be operationally defined as extremely large datasets that are so large and …

In recent years, the volume of digitalized web-based information utilizing modern computer-
based technology for data storage, processing, and analysis has grown rapidly. Humans …

“Bla, bla, bla.” With these words, Greta Thunberg condemned the world leaders in Milan
over the climate crisis. She said there are many fine words, but the science does not lie: CO2 …

Defining reliable tools for early prediction of outcome is the main target for physicians to
guide care decisions in patients with brain injury. The application of machine learning (ML) …