Latest AI and machine learning research in neurology for healthcare professionals.
This study develops a deep learning (DL) method for fast auditory attention decoding (AAD) using ele...
Computer-aided diagnosis (CAD) plays a crucial role in the clinical application of Alzheimer's disea...
BACKGROUND: Deformable registration is required to generate a time-integrated activity (TIA) map whi...
The integration of artificial intelligence (AI) models in the classification of electromyographic (E...
BACKGROUND: Alzheimer's disease (AD) is a chronic neurodegenerative disorder that poses a substantia...
Neural circuits with specific structures and diverse neuronal firing features are the foundation for...
Currently, numerous studies focus on employing fMRI-based deep neural networks to diagnose neurologi...
BACKGROUND: Robot-assisted gait training (RAGT) is promising to help walking rehabilitation in cereb...
In order to improve the performance of binary motor imagery (MI) - based brain-computer interfaces (...
Magnetic resonance imaging of the brain is a useful tool in both the clinic and research settings, a...
OBJECTIVE: Common pain assessment approaches such as self-evaluation and observation scales are inap...
Strokes are a leading global cause of mortality, underscoring the need for early detection and preve...
Resting-state functional magnetic resonance imaging (rs-fMRI) has increasingly been used to study bo...
The olfactory system enables humans to smell different odors, which are closely related to emotions....
OBJECTIVES: To explore the feasibility of deploying robot-led activities for people with dementia li...
Alzheimer's disease (AD) stands as the prevalent progressive neurodegenerative disease, precipitatin...
Parkinson's disease (PD) is a neurodegenerative and progressive disease that impacts the nerve cells...
Artificial intelligence (AI) is currently being used as a routine tool for day-to-day activity. Medi...
BACKGROUND: Proprioceptive impairments are common after stroke and are associated with worse motor r...
Convolutional neural networks (CNNs) are gradually being recognized in the neuroimaging community as...
Large language models (LLMs) are advanced artificial intelligence (AI) systems that excel in recogni...