Latest AI and machine learning research in neurology for healthcare professionals.
Ischemic stroke (IS) affects 11Â million people annually, posing substantial clinical and economic bu...
Stroke is among the leading causes of death, especially among old adults. Thus, the mortality rate a...
INTRODUCTION: Adverse prognostic events (APE) of neurosyphilis include ongoing syphilitic meningitis...
BACKGROUND: Machine learning (ML) models may offer greater clinical utility than conventional risk s...
In-memory computing (IMC) is a technology that enables efficient analog vector-matrix multiplication...
Effective representation of neuronal morphology is essential for cell typing and understanding brain...
PURPOSE: Evaluate patient phenotypes and longitudinal patterns of hypoglossal nerve stimulator (HGNS...
To evaluate scientific literature regarding the application of Photobiomodulation (PBM), with a spec...
Artificial intelligence-integrated electroencephalography (AI-EEG) has demonstrated promise in the e...
The prevalence of Alzheimer's disease and other dementias is increasing as populations live longer l...
With the advancement of artificial intelligence-embedded methodologies, their application to predict...
BackgroundThe global burden of Alzheimer's disease and related dementias is rapidly increasing, part...
BackgroundSubjective cognitive decline (SCD) is recognized as an early phase in the progression of A...
BACKGROUND: Individualized prediction of health outcomes supports clinical medicine and decision mak...
BACKGROUND: Parkinson's disease (PD) is a prevalent neurodegenerative condition, the effect of obesi...
Amyotrophic lateral sclerosis (ALS) is characterized by the progressive loss of motor neurons (MNs) ...
OBJECTIVE: To develop a robust group-level brain parcellation method using deep learning based on re...
Existing electroencephalogram (EEG)-based deep learning models are mainly designed for single or sev...
DNA methylation plays a crucial role in the onset and progression of Alzheimer's disease (AD). Genom...
There are specific changes in the frequency components of the electroencephalogram (EEG) signals bef...
Recently, dementia research has primarily concentrated on using Magnetic Resonance Imaging (MRI) to ...