The risk of discovering an intracranial aneurysm during the initial screening and follow-up
screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these …

Scientific advances have informed many aspects of acute stroke care but have also
highlighted the complexity and heterogeneity of cerebrovascular diseases. While practice …

Objective To determine which findings on routine clinical EEGs correlate with delirium
severity across various presentations and to determine whether EEG findings independently …

Importance Antiseizure medications (ASMs) are frequently prescribed for acute symptomatic
seizures and epileptiform abnormalities (EAs; eg, periodic or rhythmic patterns). There are …

Objective To quantify the burden of epileptiform abnormalities (EAs) including seizures,
periodic and rhythmic activity, and sporadic discharges in patients with aneurysmal …

Background Patients with aneurysmal subarachnoid hemorrhage (aSAH) with
electroencephalographic epileptiform activity (seizures, periodic and rhythmic patterns, and …

Subarachnoid hemorrhage (SAH) is one of the major health issues known to society and
has a higher mortality rate. The clinical factors with computed tomography (CT), magnetic …

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 …

Critical care long-term continuous electroencephalogram (cEEG) monitoring has expanded
dramatically in the last several decades spurned by technological advances in EEG …

BACKGROUND: Interest in machine learning (ML)–based predictive modeling has led to the
development of models predicting outcomes after aneurysmal subarachnoid hemorrhage …