Latest AI and machine learning research in neurology for healthcare professionals.
Confusion is the primary epistemic emotion in the learning process, influencing students' engagement...
BACKGROUND: Endovascular thrombectomy (EVT) duration is an important predictor for neurological outc...
Temporal-spatial precision has attracted increasing attention for the clinical intervention of neuro...
OBJECTIVES: Acute ischemic stroke (AIS) is an emergency requiring both fast and informative MR seque...
BACKGROUND: Collateral status is an important predictor for the outcome of acute ischemic stroke wit...
The validity and reliability of diagnoses in psychiatry is a challenging topic in mental health. The...
OBJECTIVES: To evaluate a deep learning model for automated and interpretable classification of cent...
Electrical stimulation of the peripheral nervous system is a promising therapeutic option for severa...
The application of convolutional neural networks (CNNs) to MRI data has emerged as a promising appro...
. Automated artefact detection in the neonatal electroencephalogram (EEG) is crucial for reliable au...
BACKGROUND: Cerebral venous thrombosis (CVT) is a rare cerebrovascular disease. Routine brain magnet...
Robotic rehabilitation of the upper limb has demonstrated promising results in terms of the improvem...
Artificial intelligence (AI) is a field of computer science that deals with the simulation of human ...
Perceptual enhancement of neural and behavioral response due to combinations of multisensory stimuli...
BACKGROUND: Trunk stabilization, which is a factor that directly affects the performance of affected...
The last decade has seen significant advances in the accumulation of medical data, the computational...
The lack of intuitive and active human-robot interaction makes it difficult to use upper-limb-assist...
BACKGROUND: Robot-assisted therapy (RAT) and virtual reality (VR)-based neuromotor rehabilitation ha...
Artificial neuronal devices are critical building blocks of neuromorphic computing systems and curre...
OBJECTIVES: Hippocampal characterization is one of the most significant hallmarks of Alzheimer's dis...
BACKGROUND: Artificial intelligence applications have gained traction in the field of cerebrovascula...