Latest AI and machine learning research in neurology for healthcare professionals.
Electroencephalography (EEG) plays a crucial role in the diagnosis of various neurological disorders...
The prevalence of Alzheimer's disease (AD) is rising annually, imposing a severe burden on patients ...
Cerebrovascular segmentation from time-of-flight magnetic resonance angiography (TOF-MRA) and comput...
PURPOSE: Autonomous systems in mechanical thrombectomy (MT) hold promise for reducing procedure time...
Radiomics allows extraction from medical images of quantitative features that are able to reveal tis...
Electroencephalography (EEG) decoding is challenging because of its temporal variability and low sig...
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder that leads to motor ...
Early and accurate prediction of neurological outcomes in comatose patients following cardiac arrest...
Classical approaches to diagnosis frequently rely on self-reported symptoms or clinician observation...
PURPOSE: The aim of this study was to assess retinal microvascular parameters (RMPs) in Fabry diseas...
AIM: Assessing the disseminated meningitis caused by in Wistar rats and its impact on antifungal di...
INTRODUCTION/AIMS: The adoption of telemedicine is generally considered as advantageous for patients...
The dorsal root ganglion (DRG) contains all primary sensory neurons, but its functional role in soma...
Rehabilitation after a stroke is vital for regaining functional abilities. However, a shortage of re...
This work presents the development of on-chip machine learning (ML) classifiers for implantable neur...
Neonatal seizures are a common medical emergency, necessitating prompt treatment. The most common et...
In recent years, artificial intelligence (AI) has become an increasingly prominent focus of medical ...
OBJECTIVE: Identification of clinically meaningful subphenotypes of disease progression can enhance ...
BACKGROUND: Cognitive impairment is common after a stroke, but it can often go undetected. In this s...
Several studies have highlighted the advantages of employing artificial intelligence (AI) models in ...
AIMS: Effective intervention for mild cognitive impairment (MCI) is key for preventing dementia. As ...