Latest AI and machine learning research in neurology for healthcare professionals.
Introduction Multiple Sclerosis (MS) is a chronic neuroinflammatory disease influenced by clinical, ...
Exploiting deep learning methods to accelerate the analysis of medical images and the interpretation...
Obsessive-compulsive disorder (OCD) is a chronic psychiatric disorder characterized by persistent in...
PURPOSE: Children with cerebral/cortical visual impairment (CVI) have neurological conditions that i...
INTRODUCTION: Stroke remains a leading cause of global morbidity and mortality, ranking second in de...
INTRODUCTION: Stroke ranks as the second-leading cause of death and third in combined death and disa...
The Berger effect, characterized by a marked increase in alpha power (8-13 Hz) upon eye closure, is ...
Understanding how pupil-linked arousal couples with cortical state is crucial for uncovering the neu...
BACKGROUND: High-throughput technologies now produce a wide array of omics data, from genomic and tr...
BACKGROUND: Spinal surgery is a highly complex field increasingly shaped by digital innovation. Arti...
Behavioural and psychological symptoms of dementia pose challenges to the safety and well-being of i...
BACKGROUND AND PURPOSE: Freezing of gait (FOG) presents a significant challenge in the management of...
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder. Diffusion tensor imaging (DT...
Restoring lower-limb function in patients with severe spinal cord injury (SCI) remains challenging. ...
Spinal cord injury (SCI) is a serious condition typically caused by mechanical trauma, often resulti...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that disrupts cognitive functio...
In recent years, advances in imaging analysis technologies, including CT perfusion, MRI, and AI anal...
Objective.Precise segmentation and quantification of nerve morphology from imaging data are critical...
Objective.Motor imagery brain-computer interfaces hold significant promise for neurorehabilitation, ...
Epileptic seizure prediction based on electroencephalogram (EEG) signals is one of the critical appl...
OBJECTIVES: Multiple system atrophy (MSA) is classified into parkinsonian (MSA-P) and cerebellar (MS...