Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Determining whether pediatric patients with low-grade gliomas (pLGGs) have tumor-related...
The utilization of large language model-based artificial intelligence (AI) in the field of neurology...
In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-ta...
Non-suicidal self-injury (NSSI) is a serious threat to the physical and mental health of adolescents...
Alzheimer's disease (AD) and atherosclerosis (AS) are two interacting diseases mostly affecting aged...
This paper presents a novel classifier based on the Clark distance for early detection of Parkinson'...
MRI brain scans alone are not a definitive measure of dementia. Deep-learning algorithms (DLA) and p...
Due to their excellent specific strength and lightweight characteristics, Al-Cu-Li alloys are widely...
To evaluate the diagnostic accuracy of machine learning-assisted magnetic resonance imaging (MRI) in...
BACKGROUND: Effective connectivity (EC) refers to the directional influences or causal relationships...
INTRODUCTION: Stroke is a significant global public health challenge, ranking as the second leading ...
Stroke remains a leading cause of death and disability worldwide. While well-established risk factor...
BACKGROUND: Predicting hematoma progression in traumatic brain injury (TBI) is crucial for timely in...
In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...
In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...
Decreased glucose tolerance is recognized as a factor associated with Parkinson's disease (PD) progr...
Drug-resistant epilepsy (DRE) patients typically require surgical intervention or neurostimulation. ...
Digital biomarkers for fatigue monitoring in neurological disorders represent an innovative approach...
BACKGROUND: Alzheimer's disease (AD) is a severe neurodegenerative disorder, yet its molecular mecha...
Electroencephalography (EEG) provides a non-invasive and real-time approach to decoding motor imager...
INTRODUCTION: This study leverages bibliometric analysis to uncover the research landscape and spotl...