Latest AI and machine learning research in neurology for healthcare professionals.
The application of artificial intelligence (AI) in neurology is a growing field offering opportuniti...
Gesture recognition using electromyography (EMG) signals has prevailed recently in the field of huma...
INTRODUCTION: About 17-80% stroke survivors experience the deficit of upper limb function, which str...
The advent of the fourth industrial revolution, characterized by artificial intelligence (AI) as its...
Biological systems interact directly with the environment and learn by receiving multimodal feedback...
Lower limb impairments are common consequences of stroke. Robotics and virtual reality (VR) play cru...
OBJECTIVE: this study was to analyze the brain functional network of end-of-dose wearing-off (EODWO)...
BACKGROUND: The significance of diagnosing illnesses associated with brain cognitive and gait freezi...
BACKGROUND: Neuroendocrine tumours (NETs) are increasing in incidence, often diagnosed at advanced s...
In recent decades, many different governmental and nongovernmental organizations have used lie detec...
Accurate, and objective diagnosis of brain injury remains challenging. This study evaluated useabili...
Striking progress has been made in understanding cognition by analyzing how the brain is engaged in ...
Lesion segmentation is a fundamental step for the diagnosis of acute ischemic stroke (AIS). Non-cont...
Facing the increasing worldwide prevalence of mental disorders, the symptom-based diagnostic criteri...
Learning brain effective connectivity networks (ECN) from functional magnetic resonance imaging (fMR...
The emerging matrix learning methods have achieved promising performances in electroencephalogram (E...
The globally rising prevalence of mental disorders leads to shortfalls in timely diagnosis and thera...
Electroencephalogram (EEG) is one of the most widely used brain computer interface (BCI) approaches....
Brain atlas is an important tool in the diagnosis and treatment of neurological disorders. However, ...
Alzheimer's disease (AD) is a neurodegenerative disease with profound pathogenetic causes. Imaging g...
Toward the development of effective and efficient brain-computer interface (BCI) systems, precise de...