Latest AI and machine learning research in neurology for healthcare professionals.
Wearable epidermic electronics assembled from conductive hydrogels are attracting various research a...
BACKGROUND: Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a standardized semi-...
The recent scientific literature abounds in proposals of seizure forecasting methods that exploit ma...
COVID-19 is an infectious respiratory disease that has had a significant impact, resulting in a rang...
Although emotion recognition has been studied for decades, a more accurate classification method tha...
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that is char...
A 30-yr-old patient with Becker muscular dystrophy presented with stroke. Background issues of proxi...
Autism spectrum disorder (ASD) is a complex, severe disorder related to brain development. It impair...
Accurate early diagnosis of concussion is useful to prevent sequelae and improve neurocognitive outc...
OBJECT: The aim of this study was at building an effective machine learning model to contribute to t...
Accurate glucose prediction is vital for diabetes management. Artificial intelligence and artificial...
PURPOSE: Strokes are severe cardiovascular and circulatory diseases with two main types: ischemic an...
The treatment of epilepsy, the second most common chronic neurological disorder, is often complicate...
Numerous models for sleep stage scoring utilizing single-channel raw EEG signal have typically emplo...
Dementia is characterized by a progressive loss of cognitive abilities, and diagnosing its early sta...
Automated segmentation of brain white matter lesions is crucial for both clinical assessment and sci...
Machine learning has achieved great success in electroencephalogram (EEG) based brain-computer inter...
Despite its superior soft tissue contrast and non-invasive nature, MRI requires long scan times due ...
The aim of this study was to investigate whether super-resolution deep learning reconstruction (SR-D...
To better assess the pathology of neurodegenerative disorders and the efficacy of neuroprotective in...
In the contemporary era, artificial intelligence (AI) has undergone a transformative evolution, exer...