Latest AI and machine learning research in seizures for healthcare professionals.
Conventional classification models for epileptic EEG signal recognition need sufficient labeled samp...
EEG is the gold standard for seizure detection in the newborn infant, but EEG interpretation in the ...
Modern neurophysiology research requires the interrogation of high-dimensionality data sets. Machine...
Image labeling using convolutional neural networks (CNNs) are a template-free alternative to traditi...
The development of novel drugs in response to changing clinical requirements is a complex and costly...
Continuous patient monitoring is essential to achieve an effective and optimal patient treatment in ...
Electroencephalography (EEG) has been a staple method for identifying certain health conditions in p...
With the advancement in artificial intelligence (AI) and machine learning (ML) techniques, researche...
OBJECTIVE: To study if limited frontotemporal electroencephalogram (EEG) can guide sedation changes ...
A reliable identification of a high-risk state for upcoming seizures may allow for preemptive treatm...
Traumatic brain injury (TBI) is a leading cause of death and disability. Yet, despite immense resear...
PURPOSE: Epilepsy is one of the most disabling neurological disorders, which affects all age groups ...
INTRODUCTION: The diagnosis of epilepsy takes a certain process, depending entirely on the attending...
OBJECTIVE: This study aims to evaluate the performance of convolutional neural networks (CNNs) train...
The prospective identification of children likely to develop schizophrenia is a vital tool to suppor...
Learning vector quantization (LVQ) is a simple and efficient classification method, enjoying great p...
OBJECTIVE: Our objective is to study how to obtain features which can reflect the continuity and int...
Applying machine learning to healthcare sheds light on evidence-based decision making and has shown ...
In recent years, deep learning has emerged as a powerful tool for developing Brain-Computer Interfac...
OBJECTIVE: We assessed preoperative structural brain networks and clinical characteristics of patien...
OBJECTIVE: The concurrent recording of electroencephalography (EEG) and functional magnetic resonanc...