Latest AI and machine learning research in neurology for healthcare professionals.
The loss of bilateral hand function is a debilitating challenge for millions of individuals that suf...
Infantile spasms are a severe epileptic syndrome characterized by short muscular contractions lastin...
OBJECTIVE: Pain is a complex sensory and emotional experience that significantly impacts individuals...
Atrial fibrillation (AF) is a severe condition associated with high morbidity and mortality, includi...
The G protein-coupled receptor 40 (GPR40) is known to exert a significant influence on neurogenesis ...
Mathematical neuroscience investigates how calcium distribution in nerve cells affects the neurologi...
BACKGROUND: Despite advances in neuro-oncology, treatments of glioma and tools for predicting the ou...
Peripheral nerve interfaces (PNIs) can enable communication with the peripheral nervous system and h...
OBJECTIVE: The objective was to utilize nine machine learning (ML) methods to predict the prognosis ...
Over 50 million people globally suffer from Alzheimer's disease (AD), emphasizing the need for effic...
OBJECTIVE: Deep learning enables precise hand tracking without the need for physical sensors, allowi...
PURPOSE OF REVIEW: While wearable robotics is expanding within clinical settings, particularly for n...
BACKGROUND: Upper-extremity dysfunction significantly affects dependence in the daily lives of strok...
Artificial intelligence (AI) has evolved from science fiction to a technology infiltrating everyday ...
Excessive Smartphone Use (ESU) poses a significant challenge in contemporary society, yet its recogn...
Motor imagery refers to the brain's response during the mental simulation of physical activities, wh...
Our primary aim with this study was to build a patient-level classifier for stroke territory in DWI ...
In the ever-evolving landscape of deep learning (DL), the transformer model emerges as a formidable ...
BACKGROUND CONTEXT: A deep learning (DL) model for degenerative cervical spondylosis on MRI could en...
A real-time and reliable automatic detection system for epileptic seizures holds significant value i...
Structural and functional brain networks are generated from two scan sequences of magnetic resonance...