Latest AI and machine learning research in neurology for healthcare professionals.
Brain-imaging-genetic analysis is an emerging field of research that aims at aggregating data from n...
Fluorescent Neuronal Cells v2 is a collection of fluorescence microscopy images and the correspondin...
INTRODUCTION: Spinal measurements play an integral role in surgical planning for a variety of spine ...
Machine learning approaches using structural magnetic resonance imaging (sMRI) can be informative fo...
BACKGROUND: The most common degenerative condition in older adults is dementia, which can be predict...
During the last years, the detection of different causes of death based on postmortem imaging findin...
The complex molecular mechanism and pathophysiology of Alzheimer's disease (AD) limits the developme...
We investigate risk factors for severe COVID-19 in persons living with HIV (PWH), including among ra...
PURPOSE OF REVIEW: We selectively review emerging noninvasive neuromonitoring techniques and the evi...
BACKGROUND: Over the recent decades, the number of different manufacturers and models of cerebrospin...
Autosomal recessive cerebellar ataxias (ARCAs) are a heterogeneous group of neurodegenerative disord...
INTRODUCTION: The oral microbial group typically represents the human body's highly complex microbia...
INTRODUCTION: Myasthenia gravis (MG) is a chronic autoimmune neuromuscular disorder. Coronavirus dis...
Electromyography (EMG) signals are primarily used to control prosthetic hands. Classifying hand gest...
OBJECTIVE: This study aimed to assess the impact of combining transcranial direct current stimulatio...
Stoke is a leading cause of long-term disability, including upper-limb hemiparesis. Frequent, unobtr...
Decades of research have shown machine learning superiority in discovering highly nonlinear patterns...
Early time series classification predicts the class label of a given time series before it is comple...
Gait abnormalities are frequent in children and can be caused by different pathologies, such as cere...
The current pace of development and applications of large language models (LLMs) is unprecedented an...
Neurodegenerative diseases (NDDs) are disorders with dysfunction and ongoing loss of neurons, glial ...