Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Traumatic brain injury (TBI) remains a major public health concern, with over 69 million...
Efforts to define biologically grounded subtypes of schizophrenia have increasingly leveraged neuroi...
Autism Spectrum Disorder (ASD) remains diagnostically challenging due to its neurobiological heterog...
BackgroundEarly diagnosis of dementia is essential for enabling timely interventions that may slow d...
The specific neuroanatomy of mild cognitive impairment (MCI) is obscured by its clinical heterogenei...
Accurate sleep stage classification in animal models is crucial for translational sleep research, en...
BACKGROUND: Artificial intelligence (AI) and wearable sensors are increasingly reshaping sports inju...
Accurately predicting respiratory signals from electromyography envelopes is crucial for non-invasiv...
Wearing-off (WO) is a common motor complication in Parkinson's disease (PD), characterized by the re...
The drug development for central nervous system (CNS) disorders, particularly neurodegenerative dise...
OBJECTIVE: Efficient and high-quality history taking is central to vestibular diagnosis, but it is o...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decl...
BACKGROUND: Amyotrophic lateral sclerosis (ALS) lacks sensitive, objective staging tools to guide cl...
Extensive studies have shown that cerebrovascular dysfunction is a critical factor in the onset and ...
Brain-machine interfaces (BMIs), which serve as revolutionary tools for neural recording, modulation...
Developing reliable biomarkers capable of differentiating Parkinson's disease from other neurologica...
Stroke remains a major global health burden (1,2), although outcomes have improved substantially thr...
OBJECTIVES: Schizophrenia is a neuropsychiatric disorder that affects emotional, behavioral, and bra...
With advances in deep learning, regression-based methods have shown promising results in 3D/2D medic...
This work presents a multimodal dataset containing synchronized electroencephalography (EEG), electr...
Motor imagery electroencephalogram (MI-EEG) analysis is essential for natural interaction and autono...