Latest AI and machine learning research in neurology for healthcare professionals.
There was increasing evidence that lipid metabolism disorders played a significant part in the matur...
OBJECTIVE: This study evaluates the effectiveness of artificial intelligence (AI) models in generati...
Vascular dementia (VaD), the second most common form of dementia, lacks reliable biomarkers for earl...
BACKGROUND: Surgical resection is an effective treatment for medically refractory mesial temporal lo...
Dementia typically results from damage to neural pathways and the consequent degeneration of neurona...
Alzheimer's disease (AD) constitutes a neurodegenerative disorder predominantly observed in the geri...
A healthy diet has been associated with a reduced risk of dementia. Here we devised a Machine learni...
To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...
This paper presents an advanced machine learning (ML) framework for precise nerve conduction velocit...
Recent advances in artificial intelligence (AI) and machine learning (ML) can revolutionize neuromod...
BACKGROUND: The rising prevalence of dementia is a major concern, with approximately 45% of cases li...
EEG-based seizure prediction enables timely treatment for patients, but its performance is limited b...
Alzheimer's Disease (AD) is a prevalent neurodegenerative condition where early detection is vital. ...
OBJECTIVE: To evaluate the performance of an artificial intelligence (AI)-enhanced electrocardiograp...
Correlation matrices serve as fundamental representations of functional brain networks in neuroimagi...
Due to the lack of validated universal seizure markers, population-level prediction methods often ex...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cogn...
Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy pr...
This study leveraged machine learning (ML) models to explore the relationship between three-dimensio...
Early diagnosis of Neurological Disorders (ND) such as Alzheimer's disease (AD) and Brain Tumors (BT...
We propose a compositional graph-based Machine Learning (ML) framework for Alzheimer's disease (AD) ...