Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Peripheral nerve sheath tumors (PNSTs) of the head and neck (H&N) show histopathological...
BACKGROUND: Acute ischemic stroke is a time-critical neurological emergency in which imaging directl...
BACKGROUND: Parkinson disease (PD) is a pervasive neurodegenerative disorder globally, largely chara...
Depression is a serious mental health condition affecting millions worldwide. In recent years, deep ...
Dementia, a degenerative disease affecting millions globally, is projected to triple by 2050. Early ...
Alzheimer's disease (AD) is a highly heritable neurodegenerative disorder whose genetic architecture...
Motor imagery (MI)-based brain-computer interface (BCI) systems offer a promising approach for post-...
BACKGROUND: Emergence delirium (ED) is a common complication in elderly patients undergoing surgery ...
OBJECTIVE: To develop and validate an interpretable machine learning model based on multicenter T1-w...
OBJECTIVE: To construct and validate a multi-task deep learning model based on ConvNeXt-Tiny for syn...
BACKGROUND: Diagnostics and therapeutics for corneal nerve pathologies are rapidly evolving, with co...
BACKGROUND: The National Institutes of Health Stroke Scale (NIHSS) is critical to acute stroke care ...
Electroencephalogram (EEG)-based emotion recognition is an important research area in affective comp...
Existing deep learning models for epileptic electroencephalogram (EEG) signal analysis frequently ov...
BACKGROUND: Cognitive impairment is the growing challenge that requires early diagnosis and personal...
This review provides a comprehensive analysis of the effects of different exercise modalities on wor...
OBJECTIVE: Ceribell Inc.'s point-of-care electroencephalographic (EEG) system and artificial intelli...
In real-world occupational settings, mental fatigue commonly emerges from the combination of sleep d...
Introduction Identifying the cause of MCA occlusion before endovascular treatment (EVT) in acute isc...
BACKGROUND AND OBJECTIVE: Modeling cerebral aneurysms using patient-specific geometries demands sign...
INTRODUCTION AND AIMS: This study aimed to devise a deep learning-based model for the automated iden...