Latest AI and machine learning research in neurology for healthcare professionals.
Current diagnosis of glioma types requires combining both histological features and molecular charac...
Neuromorphic computing aims to emulate the computing processes of the brain by replicating the funct...
Rehabilitation therapy plays an essential role in assisting people with stroke regain arm function. ...
PURPOSE: Point localisation is a critical aspect of many interventional planning procedures, specifi...
Dementia is a progressive neurodegenerative disease that burdens the person living with the disease,...
Parkinson's disease (PD) is a severe, progressive, neurological disorder. PD is not a single disease...
BACKGROUND: Deep learning has shown potential in various scientific domains but faces challenges whe...
Many brain-computer interfaces require a high mental workload. Recent research has shown that this c...
OBJECTIVE: Standard MRI protocols lack a quantitative sequence that can be used to evaluate shunt-tr...
Robot-assisted therapy and mirror therapy are both effective in promoting upper limb function after ...
The peripheral nerves (PNs) innervate the dermis and epidermis, and are suggested to play an importa...
Neuroprognostication following acute brain injury (ABI) is a complex process that involves integrati...
Atmospheric particulate matter (PM) exacerbates the risk factor for Alzheimer's and Parkinson's dise...
PURPOSE: To compare the impact of deep learning reconstruction (DLR) and hybrid-iterative reconstruc...
BACKGROUND AND OBJECTIVES: Timely identification of dysarthria progression in patients with bulbar-o...
Deep learning has become a leading subset of machine learning and has been successfully employed in ...
In the context of electroencephalogram (EEG)-based driver drowsiness recognition, it is still challe...
Persons with a history of traumatic brain injury (TBI) may exhibit short- and long-term cognitive d...
BACKGROUND CONTEXT: Spinal pathologies are diverse in nature and, excluding trauma and degenerative ...
Mild cognitive impairment (MCI) is a neuropsychological syndrome that is characterized by cognitive ...
Deep-learning approaches with data augmentation have been widely used when developing neuroimaging-b...