Latest AI and machine learning research in neurology for healthcare professionals.
At present, due to the rapid progress of treatment technology in the acute phase of ischaemic stroke...
BACKGROUND: Walking impairment represents a relevant symptom in patients with neurological diseases ...
The pathological cascade of spinal cord injury (SCI) is highly intricate. The onset of neuroinflamma...
PURPOSE: We sought to develop an artificial intelligence (AI)-based model to predict early recurrenc...
BACKGROUND: The objective of this study was to establish a predictive model utilizing machine learni...
Digital health is significantly transforming stroke care, particularly in remote and economically di...
Alzheimer's disease (AD) involves aggregation of amyloid β and tau, neuron loss, cognitive decline, ...
The deficit in social interaction skills among individuals with autism spectrum disorder (ASD) is st...
Electroencephalogram (EEG) signals play an important role in brain-computer interface (BCI) applicat...
OBJECTIVES: To investigate whether machine learning (ML)-based center of pressure (COP) analysis for...
OBJECTIVE: Clinical visual intraoperative electrocorticography (ioECoG) reading intends to localize ...
BACKGROUND:  Symptomatic cerebral vasospasms are deleterious complication of the rupture of a cerebr...
The major vascular cause of dementia is cerebral small vessel disease (SVD). Its diagnosis relies on...
Automatic seizure detection has significant value in epilepsy diagnosis and treatment. Although a va...
Fatigue driving is one of the leading causes of traffic accidents, and the rapid and accurate detect...
OBJECTIVE: To develop machine learning models using patient and migraine features that can predict t...
Parkinson's disease (PD) is a neurodegenerative disorder characterized by diverse symptoms, where ac...
Notification systems that convey urgency without adding cognitive burden are crucial in human-comput...
In ophthalmology, artificial intelligence methods show great promise due to their potential to enhan...
In pursuing advanced neuromorphic applications, this study introduces the successful engineering of ...
The integration of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) ca...