Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Cerebral hemorrhage is a critical medical condition that necessitates a rapid and precis...
BACKGROUND: Detection and localization of cerebral microbleeds (CMBs) is crucial for disease diagnos...
BACKGROUND The objective of this study was to develop and validate machine learning (ML) algorithms ...
Ultrasound-guided quadratus lumborum block (QLB) technology has become a widely used perioperative a...
BACKGROUND: In neurointensive care, increased intracranial pressure (ICP) is a feared secondary brai...
BACKGROUND: The European Cross-Cultural Neuropsychological Test Battery (CNTB) has been proposed as ...
A butterfly-like robot swims using an electronic device to stimulate human-derived motor neurons and...
Biological motions of native muscle tissues rely on the nervous system to interface movement with th...
The calibration procedure for a wearable P300 brain-computer interface (BCI) greatly impact the user...
Robotic animals are designed to resemble real, living animals, but at the same time, dementia care g...
Cyclic alternating patterns (CAP) occur in electroencephalogram (EEG) signals during non-rapid eye m...
Affective brain-computer interface is an important part of realizing emotional human-computer intera...
Multiple prognostic scores have been developed to predict morbidity and mortality in patients with s...
Idiopathic normal pressure hydrocephalus (iNPH) affects approximately 1.5% of the population, with a...
Alzheimer's disease (AD) is a progressive neurological disorder. It is identified by the gradual shr...
Alzheimer's Disease is a neurodegenerative disorder, and one of its common and prominent early sympt...
Use of techniques derived from generative artificial intelligence (AI), specifically large language ...
BACKGROUND: Traumatic brain injury (TBI) is a change in brain function or evidence of brain patholog...
Seizure prediction using EEG has significant implications for the daily monitoring and treatment of ...
Brain-computer interfaces (BCIs) are promising tools for motor neurorehabilitation. Achieving a bala...
BACKGROUND AND OBJECTIVES: to identify predictors of progression to refractory status epilepticus (R...