Latest AI and machine learning research in seizures for healthcare professionals.
Artificial intelligence (AI) is revolutionizing epilepsy care by advancing seizure detection, enhanc...
EEG is the most powerful tool for epilepsy discharge detection in brain. Visual evaluation is hard i...
Despite the vast number of publications reporting seizures and the reliance of the field on accurate...
Electroencephalogram (EEG) signals are time series data containing abundant brain information. Howev...
Associative learning tests are cognitive assessments that evaluate the ability of individuals to lea...
Artificial intelligence (AI) is revolutionizing clinical neurophysiology (CNP), particularly in its ...
Brain-computer interfaces (BCIs) based on electroencephalography (EEG) enable neural activity interp...
INTRODUCTION: To investigate the potential of using artificial intelligence (AI), specifically large...
Neurological disorders are a major global health concern that have a substantial impact on death rat...
BACKGROUND: To (a) evaluate the effect of a machine learning algorithm in the identification of pati...
BACKGROUND AND OBJECTIVES: Epilepsy is a neurological disorder characterized by recurrent epileptic ...
While artificial intelligence has received considerable attention in various medical fields, its app...
HYPOTHESIS/OBJECTIVE: Rodent models of epilepsy can help with the search for more effective drug can...
The integration of Deep Learning (DL) algorithms on brain signal analysis is still in its nascent st...
Emotion recognition plays a key role in the field of human-computer interaction. Classifying and pre...
Major depressive disorder (MDD) is highly heterogeneous in response to repetitive transcranial magne...
Previous research has demonstrated that machine learning (ML) could not effectively decode passive o...
Alcoholism, a progressive loss of control over alcohol consumption, deteriorates mental and physical...
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition common in teenager...
In order to detect epileptic spikes, this paper suggests a deep learning architecture that blends 1D...
Timely identification of Parkinson's disease and schizophrenia is crucial for the effective manageme...