Noninvasive mobile EEG as a tool for seizure monitoring and management: A systematic review

A Biondi, V Santoro, PF Viana, P Laiou, DK Pal… - …, 2022 - Wiley Online Library
In the last two decades new noninvasive mobile electroencephalography (EEG) solutions
have been developed to overcome limitations of conventional clinical EEG and to improve …

Machine learning and artificial intelligence applications to epilepsy: a review for the practicing epileptologist

WT Kerr, KN McFarlane - Current Neurology and Neuroscience Reports, 2023 - Springer
Abstract Purpose of Review Machine Learning (ML) and Artificial Intelligence (AI) are data-
driven techniques to translate raw data into applicable and interpretable insights that can …

[HTML][HTML] Using artificial intelligence to optimize anti-seizure treatment and EEG-guided decisions in severe brain injury

Z Akras, J **g, MB Westover, SF Zafar - Neurotherapeutics, 2025 - Elsevier
Electroencephalography (EEG) is invaluable in the management of acute neurological
emergencies. Characteristic EEG changes have been identified in diverse neurologic …

Develo** DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit

J Dang, A Lal, A Montgomery, L Flurin, J Litell, O Gajic… - BMC neurology, 2023 - Springer
Introduction Digital twins, a form of artificial intelligence, are virtual representations of the
physical world. In the past 20 years, digital twins have been utilized to track wind turbines' …

Interrater reliability of expert electroencephalographers identifying seizures and rhythmic and periodic patterns in EEGs

J **g, W Ge, AF Struck, MB Fernandes, S Hong, S An… - Neurology, 2023 - AAN Enterprises
Background and Objectives The validity of brain monitoring using electroencephalography
(EEG), particularly to guide care in patients with acute or critical illness, requires that experts …

Precision emergency medicine

M Strehlow, A Alvarez, AL Blomkalns… - Academic …, 2024 - Wiley Online Library
Background Precision health is a burgeoning scientific discipline that aims to incorporate
individual variability in biological, behavioral, and social factors to develop personalized …

Implementation and impact of a point of care electroencephalography platform in a community hospital: a cohort study

J Ward, A Green, R Cole, S Zarbiv, S Dumond… - Frontiers in Digital …, 2023 - frontiersin.org
Objective To determine the clinical and financial feasibility of implementing a poc-EEG
system in a community hospital. Design Data from a prospective cohort displaying abnormal …

Rapid response EEG: current state and future directions

Z Davey, PB Gupta, DR Li, RU Nayak… - Current neurology and …, 2022 - Springer
Abstract Purpose of Review To critically appraise the literature on the application, methods,
and advances in emergency electroencephalography (EEG). Recent Findings The …

Insight into drug resistance in status epilepticus: evidence from animal models

F Wang, Q Zhang, Y Wang, J Chen… - International Journal of …, 2023 - mdpi.com
Status epilepticus (SE), a condition with abnormally prolonged seizures, is a severe type of
epilepsy. At present, SE is not well controlled by clinical treatments. Antiepileptic drugs …

Improved access to rapid electroencephalography at a community hospital reduces inter‐hospital transfers for suspected non‐convulsive seizures

ES Madill, K Gururangan… - Epileptic Disorders, 2022 - Wiley Online Library
Objective. Patients with suspected non‐convulsive seizures are optimally evaluated with
EEG. However, limited EEG infrastructure at community hospitals often necessitates transfer …