Latest AI and machine learning research in neurology for healthcare professionals.
Neurodegenerative diseases such as Alzheimer's disease (AD) and frontotemporal dementia (FTD) exhibi...
The timely and reliable detection of driver fatigue is crucial for reducing driving risks and improv...
In this article, we study a nonlinear neuron membrane model describing the propagation of action pot...
Cerebral amyloid angiopathy (CAA) commonly co-occurs with Alzheimer's disease (AD), yet the molecula...
BACKGROUND AND OBJECTIVE: Tic disorders in children are mainly assessed by behavioral observation an...
PURPOSE: To examine global research trends in delirium prevention through a bibliometric analysis an...
Collateral circulation that determines infarct progression in large vessel occlusion (LVO) is implic...
The use of deep learning for EEG-based seizure prediction has grown rapidly in recent years. However...
Retronasal olfaction is central to food flavor perception, yet its multiscale mechanisms from the or...
BACKGROUND: Psychiatric disorders represent a major burden for patients with epilepsy (PwE). This st...
Reduced-channel polysomnography (PSG) and electroencephalography/electrooculography (EEG/EOG) signal...
Objective.Artificial intelligence methods for denoising low-count FDG PET brain images are usually e...
OBJECTIVE: To develop a robust and accurate multi-parameter assessment framework for adolescent idio...
Parkinson's disease (PD) poses a major unmet therapeutic challenge, with most drug candidates failin...
Stroke volume, the volume of blood ejected by the left ventricle during a contraction, is a key metr...
Deep learning-based automated analysis offers the potential to streamline workflows, improve reprodu...
Ischemic stroke management is time-sensitive, and lesion segmentation supports treatment selection, ...
BACKGROUND: Parkinson's disease is a rapidly growing neurodegenerative disorder with various motor a...
PURPOSE: As symptoms progress in people with Alzheimer's disease and related dementias (ADRD), careg...
BACKGROUND AND OBJECTIVES: Recognition and treatment of neonatal seizures, primarily diagnosed using...
Deep learning (DL) has shown considerable promise for EEG-based dementia assessment; however, rigoro...