Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Accurate segmentation of acute ischemic stroke (AIS) lesions on neuroimaging is essentia...
The olfactory bulb (OB), the first central relay of the olfactory pathway, plays a critical role in ...
Temporal lobe epilepsy (TLE) exhibits marked lateralized gray matter alterations, yet whole-brain ne...
OBJECTIVE: This study aims to develop a data-driven methodology for stratifying Amyotrophic Lateral ...
BackgroundNeuropsychiatric symptoms (NPS) are common in Alzheimer's disease (AD) and mild cognitive ...
Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder characterized by complex mol...
Bioactive compounds are a promising multi-target strategy for managing neuroinflammation and chronic...
OBJECTIVE: High accuracy in medical classification tasks does not ensure that neural networks reason...
BACKGROUND: Accurate diagnosis of lacunar stroke in the acute setting is challenging and often depen...
INTRODUCTION/AIMS: Electrodiagnostic (EDX) studies comprise nerve conduction studies (NCS) and needl...
PURPOSE: Posterior spinal fusion (PSF) with pedicle screws is the standard treatment for adolescent ...
Diffusion-FLAIR mismatch (DFM), defined as the discrepancy between diffusion-weighted imaging (DWI) ...
BACKGROUND AND AIMS: Wildfire smoke is a growing public health concern, particularly due to its high...
BACKGROUND: Retinal neurodegeneration is an early and independent feature of diabetic retinal diseas...
Deep learning methods have significantly advanced the analysis of brain imaging data for various dow...
Electroencephalography (EEG) offers a promising modality for biometric identification, though balanc...
BACKGROUND: Multiple sclerosis (MS) affects 2.8 million individuals worldwide, with Middle Eastern p...
BACKGROUND: Large language models (LLMs) have shown promising results in medical decision support; B...
BACKGROUND: Progression independent of relapse activity (PIRA) has been shown to account for a major...
This study aims to analyze waste disposal and recovery data for 2022 and 2024 in Türkiye to reveal c...
OBJECTIVES: Point-of-care (POC) electroencephalography (EEG) enabled with artificial intelligence (A...