Latest AI and machine learning research in neurology for healthcare professionals.
Many efforts have been made to improve the neuron integration efficiency on neuromorphic chips, such...
Most studies on EEG-based biometry recognition report results based on signal databases, with a limi...
The segmentation of cranial nerves (CNs) tracts based on diffusion magnetic resonance imaging (dMRI)...
In brain-computer interface (BCI) systems, motor imagery electroencephalography (MI-EEG) signals are...
Neuropeptides play pivotal roles in different physiological processes and are related to different k...
This study aimed to explore nurses' perceptions towards care robots and their work experiences in ca...
OBJECTIVE: The morphological dynamics of the median nerve across the level extracted from dynamic ul...
INTRODUCTION: Machine learning research into automated dementia diagnosis is becoming increasingly p...
Artificial intelligence (AI) application development is underway in all areas of radiology where man...
Digital twins have revolutionized manufacturing and maintenance, allowing us to interact with virtua...
Alzheimer's disease (AD) is the most common form of dementia. Computer-aided diagnosis (CAD) can hel...
Accurate early prediction of epileptic seizures can provide timely treatment for patients. Previous ...
Long-term depression and negative emotional cycles affect life quality and work productivity. Howeve...
In recent years, deep learning-based feature representation methods have shown a promising impact on...
BACKGROUND: The examination of the optic nerve head (optic disc) is mandatory in patients with heada...
BACKGROUND AND OBJECTIVE: Emotion classification tasks based on electroencephalography (EEG) are an ...
Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in hospitals acros...
Despite promising results in the rehabilitation field, it remains unclear whether upper limb robotic...
Current technologies for image guidance navigation and robotic assistance with spinal surgery are im...
The aim of this study is to evaluate a regional deformable model based on a deep unsupervised learni...
AIM: This study aims to investigate the effects of robot-assisted gait training (RAGT) frequency on ...