Latest AI and machine learning research in neurology for healthcare professionals.
Glaucoma is the leading cause of irreversible blindness worldwide. Early detection is essential to preserve vision. Deep learning approaches have shown promise in automating glaucoma detection. However, significant class imbalance in medical datasets often impairs classifier performance. To address this challenge, we propose AUBADE-syn, a deep learning ensemble framework that integrates synthetic ...
BACKGROUND: Myocardial infarction (MI), one of the most severe cardiovascular diseases, is influenced by altered macrophage status and metabolic reprogramming (MR), yet the mechanisms of their crosstalk remain unclear. This study used bioinformatics to explore key genes associated with macrophages and MR function in MI. METHODS: Single-cell and bulk transcriptomics data of MI were obtained from pu...
BACKGROUND: Pediatric severe traumatic brain injury (sTBI) remains a leading cause of death and long-term disability, yet its molecular characterizati...
BACKGROUND: Ankle foot orthosis (AFOs) are devices commonly prescribed to assist or rehabilitate gait. A critical parameter influencing their effectiv...
Epilepsy is a severe neurological disorder with complex pathogenesis. Mitochondrial dysfunction (MitD) is increasingly recognized as a key driver of e...
Investigating astrocyte-neuron communication in the absence of neuron-to-neuron signalling is challenging using traditional culture systems due to the...
BACKGROUND: Parkinson's disease (PD) is the second most common neurodegenerative disease, characterised by progressive loss of dopaminergic neurons in...
BACKGROUND AND OBJECTIVE: Susceptibility Weighted Imaging (SWI) plays a pivotal role in detecting cerebral microbleeds (CMBs), key biomarkers of vascu...
BACKGROUND: Scalable risk stratification for ischemic stroke remains an unmet need. OBJECTIVES: In this study, the authors sought to assess whether de...
Dynamic effective connectivity (dEC) analysis provides an approach for revealing the causal mechanism of information transmission in human brain. Howe...
PURPOSE: To develop a deep learning-based fully automated framework for segmenting multiple sclerosis (MS) lesions in the spinal cord (SC) using image...
BACKGROUND: Primary angle-closure glaucoma (PACG) has traditionally been regarded as an ocular disorder, but accumulating evidence suggests broader ce...
BACKGROUND: Cluster headache is associated with compensated hypogonadism in males, suggesting impaired testicular steroidogenesis. It is unknown if ad...
OBJECTIVES: This study investigated whether the coupling between cortical blood-oxygen-level-dependent (BOLD) signals and cerebrospinal fluid (CSF) fl...
Artificial intelligence (AI) holds significant promise for transforming cerebral infarction care, yet its real-world performance across the entire dis...
Advancements in drug delivery systems (DDSs) have revolutionized pharmaceutical development by enhancing therapeutic precision, minimizing off-target ...
Chronic pain is associated with disrupted cortical activity, yet individual variability in these neural patterns remains poorly understood. Electroenc...
In recent years, there has been a notable increase in the use of supervised detection methods of major depressive disorder (MDD) based on electroencep...
PURPOSE: Focal to bilateral tonic-clonic seizures (FBTCS) is the most severe form of epileptic seizures, posing a major challenge in both management a...
Surface electromyography (sEMG) has shown potential for intuitive control of wearable assistive technologies in individuals with motor impairments. Ho...