Latest AI and machine learning research in seizures for healthcare professionals.
The current pace of development and applications of large language models (LLMs) is unprecedented an...
INTRODUCTION: A challenge when applying an artificial intelligence (AI) deep learning (DL) approach ...
The main purpose of this paper is to provide information on how to create a convolutional neural net...
This study presents a novel method to assess the learning effectiveness using Electroencephalography...
Automatic identification of visual learning style in real time using raw electroencephalogram (EEG) ...
Motor imagery (MI) brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have been de...
INTRODUCTION: Visual hallucination is a prevalent psychiatric disorder characterized by the occurren...
We evaluated whether integration of expert guidance on seizure onset zone (SOZ) identification from ...
BACKGROUND: Individuals in the early stages of Alzheimer's Disease (AD) are typically diagnosed with...
For depression diagnosis, traditional methods such as interviews and clinical scales have been widel...
Obsessive-compulsive disorder (OCD) is a highly common psychiatric disorder. The symptoms of this c...
OBJECTIVE: Individuals with temporal lobe epilepsy (TLE) frequently demonstrate impairments in execu...
More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage b...
INTRODUCTION: The main objective of this study is to evaluate working memory and determine EEG bioma...
This article aims to improve and diversify signal processing techniques to execute a brain-computer ...
Sleep spindles (SSs) and K-complexes (KCs) are brain patterns involved in cognitive functions that a...
The neurodevelopmental disorder, Attention Deficit Hyperactivity Disorder (ADHD), frequently affecti...
This has become a significant study area in recent years because of its use in brain-machine interac...
Epilepsy is a chronic disease of the brain characterized by seizures. The currently available antico...
Pathology diagnosis based on EEG signals and decoding brain activity holds immense importance in und...
Because of the intricate topological structure and connection of the human brain, extracting deep sp...