Latest AI and machine learning research in neurology for healthcare professionals.
Cognitive impairment in patients with moyamoya disease (MMD) manifests earlier than clinical symptom...
BACKGROUND AND OBJECTIVE: Preoperative neurosurgical planning is an important step in avoiding surgi...
This study investigates the effectiveness of amplitude transformation in enhancing the performance a...
Millions of people around the globe are impacted by falls annually, making it a significant public h...
BACKGROUND: Impaired balance and gait in stroke survivors are associated with decreased functional i...
The integration of machine learning (ML) classification techniques into migraine research has offere...
AD is a progressive neurodegenerative disorder characterized by memory loss. Due to the advancement ...
Availability of large and diverse medical datasets is often challenged by privacy and data sharing r...
Self-supervised learning (SSL) is a challenging task in sleep stage classification (SSC) that is cap...
OBJECT: Transformer-based neural networks have been applied to the electroencephalography (EEG) deco...
Sleep staging is essential for sleep assessment and plays an important role in disease diagnosis, wh...
Detecting gait abnormalities is crucial for assessing fall risks and early identification of neuromu...
BACKGROUND: This study focused on the research hotspots and development trends of the neuroimaging o...
Robot-assisted gait training (RAGT) is a promising technique for improving the gait ability of elder...
Cerebrovascular segmentation is a crucial preliminary task for many computer-aided diagnosis tools d...
EEG signal analysis can be used to study brain activity and the function and structure of neural net...
PURPOSE: This study aims to evaluate the similarity, readability, and alignment with current scienti...
In this study, we investigate the application of self-supervised learning via pre-trained Long Short...
INTRODUCTION: In Parkinson's Disease (PD), despite available treatments focusing on symptom alleviat...
Flexible strain monitoring of hand and joint muscle movement is recognized as an effective method fo...
In the domain of passive brain-computer interface applications, the identification of emotions is bo...