Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND AND OBJECTIVE: Alzheimer's disease (AD) significantly threatens community well-being and ...
BACKGROUND: Computer-aided detection (CAD) systems have been widely used to assist medical professio...
PURPOSE: Meralgia paraesthetica (MP) is a rare neuropathy of the lateral femoral cutaneous nerve (LF...
Humans spend a significant portion of their lives in sleep (an essential driver of body metabolism)....
BACKGROUND: This prospective cohort study was designed to investigate and compare the effectiveness ...
The last decade has witnessed a notable surge in deep learning applications for electroencephalograp...
Abnormal serum sodium levels are a common and severe complication in stroke patients, significantly ...
Alzheimer's disease (AD) is a severe neurological illness that demolishes memory and brain functioni...
Low Back Pain (LBP) is the most prevalent musculoskeletal condition worldwide and a leading cause of...
To develop and evaluate a novel, non-patient-specific epileptic seizure prediction system using grad...
Functional brain network (FBN) methods are commonly integrated with deep learning (DL) models for EE...
BACKGROUND: Dementia is a neurological syndrome marked by cognitive decline. Alzheimer's disease (AD...
Upper limb training dose after stroke is usually quantified by time and repetitions. This study anal...
High-quality scalp EEG datasets are extremely valuable for motor imagery (MI) analysis. However, due...
Effectively learning the temporal dynamics in electroencephalogram (EEG) signals is challenging yet ...
Recent advancements in the classification of Alzheimer's disease have leveraged the automatic featur...
Despite numerous studies aimed at improving accuracy, the accurate prediction of epileptic seizures ...
The study introduces an innovative approach to efficient mental stress detection by combining electr...
Neuroimaging analysis aims to reveal the information-processing mechanisms of the human brain in a n...
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...