Latest AI and machine learning research in neurology for healthcare professionals.
Stroke-associated pneumonia (SAP) is a serious complication of acute ischemic stroke (AIS), signific...
Mounting experimental evidence suggests the hypothesis that brain-state-specific neural mechanisms, ...
In this work, two capacitors connected by a thermistor are used to explore the electrical property o...
Electroencephalogram (EEG) signals are a popular tool to analyze sleep patterns. Cyclic alternating ...
As a modal of physiological information, electroencephalogram (EEG), surface electromyography (sEMG)...
Yu 's study has advanced the understanding of the neural mechanisms underlying major depressive diso...
This manuscript introduces NeuroDetect, a model-free deep learning-based signal detection framework ...
Alzheimer's disease (AD), the most common form of dementia, is marked by cognitive decline and amylo...
BACKGROUND: Regarding the differences in surgical approaches for spinal schwannomas and meningiomas,...
OBJECTIVES: Understanding the impact of epilepsy on pediatric brain tumors is crucial to diagnostic ...
Parasomnias are abnormal behaviours or mental experiences during sleep or the sleep-wake transition....
Stroke is a leading global cause of death, with 80% of cases considered preventable through early de...
OBJECTIVE: Cortical regions such as parietal area H (PH) and the fundus of the superior temporal sul...
Substance use disorders (SUDs), including Alcohol Use Disorder, are pressing global public health pr...
INTRODUCTION: In 2024, 11 European scientific societies/organizations and one patient advocacy assoc...
Driven by the remarkable capabilities of machine learning, brain-computer interfaces (BCIs) are carv...
Lie detection is crucial in domains such as security, law enforcement, and clinical assessments. Tr...
Diagnosing Alzheimer's disease based on gene expression data extracted from microarrays is still an ...
This study aimed to classify patients' focal (frontal, temporal, parietal, occipital), multifocal, a...
OBJECTIVE: To develop and validate machine learning-based models for predicting independent walking ...
The recent approval of anti-amyloid pharmaceuticals for the treatment of Alzheimer's disease (AD) ha...