Latest AI and machine learning research in neurology for healthcare professionals.
Segmentation of infarcts is clinically important in ischemic stroke management and prognostication. ...
This study delves into decoding hand gestures using surface electromyography (EMG) signals collected...
This study aimed to (1) replicate a deep-learning-based model for cerebral aneurysm segmentation in ...
Time-of-flight magnetic resonance angiography (TOF-MRA) is a non-contrast technique used to visualiz...
BACKGROUND AND OBJECTIVE: Parkinson's disease (PD) is one of the most prevalent neurodegenerative br...
UNLABELLED: Out-of-hospital cardiac arrest (OHCA) is a critical condition with low survival rates. I...
The concept of 'brain age', derived from neuroimaging data, serves as a crucial biomarker reflecting...
BACKGROUND: Patients with neurological disorders including stroke use rehabilitation to improve cogn...
Seizures pose a significant health hazard for over 50 million individuals with epilepsy worldwide, w...
Cochlear implant (CI) is a neural prosthesis that can restore hearing for patients with severe to pr...
OBJECTIVE: The current evidence regarding how different predictor domains contributes to predicting ...
BACKGROUND: Valproic acid (VPA) is a commonly used broad-spectrum antiepileptic drug. For elderly ep...
Pilot behavior is crucial for aviation safety. This study aims to investigate the EEG characteristic...
BACKGROUND: Cardiac autonomic neuropathy (CAN) in diabetes mellitus (DM) is independently associated...
BACKGROUND: In Huntington's disease clinical trials, recruitment and stratification approaches prima...
BACKGROUND: Automatic prediction of seizures is a major goal in the field of epilepsy. However, the ...
One-photon fluorescent calcium imaging helps understand brain functions by recording large-scale neu...
BACKGROUND AND PURPOSE: Following endovascular thrombectomy in patients with large-vessel occlusion ...
With the fast development of AI technologies, deep learning is widely applied for biomedical data an...
Parkinson's disease is a common mental disease in the world, especially in the middle-aged and elder...
To propose a deep learning framework "SpineCurve-net" for automated measuring the 3D Cobb angles fro...