Latest AI and machine learning research in neurology for healthcare professionals.
To tackle the current crisis of Moore's law, a sophisticated strategy entails the development of mul...
CONTEXT: Motor deficits are among the most common consequences of incomplete spinal cord injury (SCI...
BACKGROUND: Parkinson's disease (PD) ranks as the second most prevalent neurodegenerative disorder g...
Pediatric stroke presents unique challenges, and optimizing treatment strategies is essential for im...
The heat and capsaicin receptor TRPV1 channel is widely expressed in nerve terminals of dorsal root ...
Recent researches reported that neurotrophins can promote glioma growth/invasion but the relevant mo...
We propose a hybrid technique that employs artificial intelligence (AI)-based segmentation and machi...
Emotional and mood disturbances are common in people with dementia. Non-pharmacological intervention...
Mild Cognitive Impairment (MCI) is a condition characterized by a decline in cognitive abilities, sp...
BACKGROUND: Closed-loop functional electrical stimulation can use recorded nerve signals to create i...
Astrocytes, a type of glial cell, significantly influence neuronal function, with variations in morp...
BACKGROUND: Lidocaine in del Nido cardioplegia solution prolongs the refractory period of cardiomyoc...
In the field of EMG-based force modeling, the ability to generalize models across individuals could ...
Automatic identification of visual learning style in real time using raw electroencephalogram (EEG) ...
Although studies on terrain identification algorithms to control walking assistive devices have been...
Cognitive impairments are a prevalent consequence of acquired brain injury, dementia, and age-relate...
This paper presents a machine learning-based prediction for dementia, leveraging transfer learning t...
Delayed cerebral ischemia (DCI) is a complication seen in patients with subarachnoid hemorrhage stro...
INTRODUCTION: In a drip-and-ship model for endovascular thrombectomy (EVT), early identification of ...
AIM: Deep learning (DL) algorithms can be used for automated analysis of medical imaging. The aim of...
OBJECTIVE: This study aimed to predict fatigue 18 months post-stroke by utilizing comprehensive data...