Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Various machine learning (ML) models based on resting-state functional MRI (Rs-fMRI) hav...
BACKGROUND: Social Anxiety Disorder is traditionally diagnosed using subjective scales that may lack...
BACKGROUND: Emotion is an important area in neuroscience. Cross-subject emotion recognition based on...
Alzheimer disease (AD) exhibits spatially heterogeneous 3- or 4-repeat tau deposition across partici...
Identifying the progression stages of Alzheimer's disease (AD) can be considered as an imbalanced mu...
Inspired by the well-known Papez circuit theory and neuroscience knowledge of reinforcement learning...
In this article, we propose a sparse spectra graph convolutional network (SSGCNet) for epileptic ele...
To overcome the energy efficiency bottleneck of the von Neumann architecture and scaling limit of si...
PURPOSE: Stroke is a neurological emergency requiring rapid, accurate diagnosis to prevent severe co...
PURPOSE: To obtain high-resolution velocity fields of cerebrospinal fluid (CSF) and cerebral blood f...
As a common disease, cardiovascular and cerebrovascular diseases pose a great harm threat to human w...
BACKGROUND: The skull base is a complex region in neurosurgery, featuring numerous foramina. Accurat...
Eye movement dysfunction is one of the non-motor symptoms of Parkinson's disease (PD). An accurate a...
Glaucoma is a group of neurodegenerative diseases that can lead to irreversible blindness. Yet, the ...
INTRODUCTION: Pharmacologic therapies for symptoms of gastroparesis (GP) have limited efficacy, and ...
OBJECTIVES: The aim of this study was to develop machine learning-based models for predicting acute ...
OBJECTIVES: Cerebral ultrasound (CUS) is the main imaging screening tool in preterm infants. The aim...
OBJECTIVE: To derive and validate a prediction model for minimal clinically important differences (M...
OBJECTIVE: To compare compressed sensing (CS) and the Cascades of Independently Recurrent Inference ...
BACKGROUND: Deep vein thromboembolism (DVT) is a common postoperative complication with high morbidi...
Japanese neurosurgery faces challenges such as a declining number of neurosurgeons and their concent...