Latest AI and machine learning research in neurology for healthcare professionals.
Neuromorphic computing offers a transformative pathway to overcome the computational and energy chal...
The accurate diagnosis of neurodegenerative diseases (NDDs), such as Amyotrophic Lateral Sclerosis (...
BACKGROUND: The aim of this study was to guide prostatectomy by employing artificial intelligence fo...
Ulnar nerve injuries often lead to muscle atrophy and reduced hand function, necessitating precise m...
Status epilepticus (SE) can be regarded as the most severe expression of seizure activity characteri...
PURPOSE: Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive cogni...
Low-beta (L, 13-20 Hz) power plays a key role in upper-limb motor control and afferent processing, m...
Cancer-related pain (CrP) is one of the most frequent and debilitating issues that affect the qualit...
Electroencephalographic (EEG) microstates, as a non-invasive and high-temporal-resolution tool for a...
The vascular and neuronal networks are structurally complex and highly branched. These networks play...
Synucleinopathies are a group of neurodegenerative diseases characterized by the deposition of misfo...
Manual dexterity tests are essential for diagnosing diseases and evaluating professional skills that...
BACKGROUND: Therapeutic hypothermia is an intervention that improves outcomes and alters early outco...
As digital biomarkers gain traction in Alzheimer's disease (AD) diagnosis, understanding recent adva...
Dysarthria frequently occurs in individuals with disorders such as stroke, Parkinson's disease, cere...
Accurate diagnosis of Tic disorders (TD) and its severity based on electroencephalogram (EEG) data w...
Despite advances in the management of traumatic brain injury (TBI) in the intensive care unit (ICU),...
Memristors have emerged as a key building block for artificial neural networks (ANNs), offering ener...
Ferroelectric tunnel junctions (FTJs) and ferroelectric diodes (FDs) have been considered as promisi...
OBJECTIVE: This study emphasizes the importance of using proper combinations of brain area, extracti...
Decoding motor imagery electroencephalogram (MI-EEG) signals is fundamental to the development of br...