Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Sarcopenia is a common complication in patients with stroke, adversely affecting recover...
Coal and gas outburst (CGO) is a complicated natural disaster in underground coal mine production. I...
PURPOSE: To develop CT-based machine learning radiomics models used for the diagnosis of dysthyroid ...
Accurate prediction of Parkinson's disease tremor (PDT) is crucial for developing assistive technolo...
Convolutional neural networks (CNNs) and mammalian visual systems share architectural and informatio...
The integration of Deep Learning (DL) algorithms on brain signal analysis is still in its nascent st...
PURPOSE: The increasing prevalence of upper limb dysfunctions due to stroke, spinal cord injuries, a...
Emotion recognition plays a key role in the field of human-computer interaction. Classifying and pre...
Major depressive disorder (MDD) is highly heterogeneous in response to repetitive transcranial magne...
Previous research has demonstrated that machine learning (ML) could not effectively decode passive o...
BACKGROUND: For stroke patients, a therapeutic approach named Non-invasive brain stimulation (NIBS) ...
OBJECTIVE: Functional imaging using the dopamine transporter (DAT) as a biomarker has proven effecti...
Alcoholism, a progressive loss of control over alcohol consumption, deteriorates mental and physical...
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition common in teenager...
AIMS: Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus. Ear...
BACKGROUND: Postural instability greatly reduces quality of life in people with Parkinson's disease ...
The presence of a diffusion-weighted imaging (DWI)-fluid-attenuated inversion recovery (FLAIR) misma...
BACKGROUND: Spinal pain, one of the most common musculoskeletal disorders (MSDs), significantly impa...
BACKGROUND: Since its emergence in 2019, COVID-19 has become a global epidemic. Several studies have...
Artificial intelligence (AI) is revolutionizing stroke care by enhancing diagnosis, treatment, and o...
This study explores the link between the emotion "guilt" and human EEG data, and investigates the in...