Latest AI and machine learning research in neurology for healthcare professionals.
Functional brain network (FBN) methods are commonly integrated with deep learning (DL) models for EE...
To develop and evaluate a novel, non-patient-specific epileptic seizure prediction system using grad...
Neuroimaging analysis aims to reveal the information-processing mechanisms of the human brain in a n...
The study introduces an innovative approach to efficient mental stress detection by combining electr...
Despite numerous studies aimed at improving accuracy, the accurate prediction of epileptic seizures ...
Recent advancements in the classification of Alzheimer's disease have leveraged the automatic featur...
Effectively learning the temporal dynamics in electroencephalogram (EEG) signals is challenging yet ...
High-quality scalp EEG datasets are extremely valuable for motor imagery (MI) analysis. However, due...
Myoelectric control interfaces, which map electromyographic (EMG) signals into control commands for ...
To retrospectively analyze the clinical characteristics of pediatric scrub typhus (ST) with meningoe...
Electroencephalography (EEG) experiments typically generate vast amounts of data due to the high sam...
Approximately 15% of patients suspected of having Parkinson's disease (PD) present dopamine active t...
Small interfering RNA (siRNA) targeting the NOD-like receptor family pyrin domain-containing 3 (NLRP...
BACKGROUND: Acute vestibular syndrome usually represents either vestibular neuritis (VN), an innocuo...
Epilepsy significantly impacts global health, affecting about 65 million people worldwide, along wit...
Artificial intelligence (AI) is revolutionizing epilepsy care by advancing seizure detection, enhanc...
The Morris Water Maze (MWM) is a widely used behavioral test to assess the spatial learning and memo...
BACKGROUND: Accurate measurement of the spinal alignment parameters is crucial for diagnosing and ev...
EEG is the most powerful tool for epilepsy discharge detection in brain. Visual evaluation is hard i...
BACKGROUND AND OBJECTIVE: Motor diagnosis, monitoring and management of Parkinson's disease (PD) foc...
In this NeuroView, we discuss challenges and best practices when dealing with disease-detection AI m...