Latest AI and machine learning research in neurology for healthcare professionals.
Non-invasive intracranial pressure (ICP) monitoring can help clinicians safely and efficiently monit...
Freezing of gait (FoG) is a common motor impairment that occurs as Parkinson's disease patients ente...
Lyme borreliosis and tick-borne encephalitis significantly impact public health in Europe, transmitt...
Lower extremity deep vein thrombosis is one of the important complications of spontaneous intracereb...
Electroencephalography (EEG) preprocessing varies widely between studies, but its impact on classifi...
The drawbacks of random sampling not only hinder the development of more reliable and efficient meth...
Recent advances in our understanding of non-cell-autonomous mechanisms in neurodegenerative diseases...
. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses...
. Electroencephalography (EEG) signals can reflect motor intention signals in the brain. In recent y...
INTRODUCTION: Meningitis, an inflammatory condition of the membranes surrounding the brain and spina...
INTRODUCTION: Individuals with spinal cord injury (SCI) have varying bladder health trajectories aft...
Parkinson's disease (PD) is a prevalent neurodegenerative disorder worldwide, often progressing to m...
Concussions present a significant risk to athletes, with females exhibiting higher rates and prolong...
Multi-variate time-series are one of the primary data modalities involved in large classes of proble...
The progression of Alzheimer's disease is relentless, leading to a worsening of mental faculties ove...
Dementia is a degenerative and chronic disorder, increasingly prevalent among older adults, posing s...
Computed tomography perfusion (CTP) represents one of the main determinants in the decision-making s...
This paper presents a rapid and robust approach for 3D volumetric segmentation, labelling, and regis...
The normal cellular prion protein (PrPC) can misfold into an infectious and pathogenic form (PrPSc) ...
Depression electroencephalograph (EEG) classification based on machine learning is helpful for the a...
Identification of neuron type is critical when using extracellular recordings in awake, behaving ani...