Latest AI and machine learning research in neurology for healthcare professionals.
Tissue-engineered spinal tracts (TE-STs), a subclass of micro-tissue-engineered neural networks, are...
RATIONALE AND OBJECTIVES: To evaluate the feasibility of a quantitative magnetic resonance imaging (...
Background: Evidence comparing endovascular therapy and open surgery for aorto-iliac occlusive disea...
OBJECTIVE: This commentary examines gesture-based rehabilitation (GBR) as an assistive technology wi...
Parkinson disease is an ongoing neurodegenerative disorder, and both motor and non-motor symptoms ar...
Epilepsy is one of the most heterogeneous and unpredictable neurological disorders, characterized by...
Introduction Blood-based biomarkers can accurately detect Alzheimer's disease (AD) pathology, but sy...
PURPOSE: To examine the pupillary light reflex (PLR) in Immunoglobulin G4-related ophthalmic disease...
Immunosenescence represents a core upstream driver of Alzheimer's disease (AD) and Parkinson's disea...
OBJECTIVE: To evaluate the longitudinal stability, reproducibility, and robustness of Adaptive Learn...
Periodic discharges (PDs) and rhythmic delta activity (RDA) are common EEG patterns in critically il...
Alzheimer's Disease (AD) is a prevalent neurodegenerative disorder characterized by progressive cogn...
Periodontal nerves, comprising sensory, sympathetic, and parasympathetic fibers, are essential compo...
BACKGROUND: Early identification of myasthenia gravis (MG) severe exacerbations that require intensi...
Multimodal neuromonitoring has emerged as a cornerstone of modern neurocritical care for traumatic b...
INTRODUCTION: Premature birth is associated with an increased risk of cognitive and motor developmen...
BackgroundThe current world demographic reality necessitates a critical re-evaluation of how technol...
BackgroundThe integration of artificial intelligence (AI) and machine learning (ML) within the clini...
BACKGROUND: Tumor invasion and malignant transformation are spatiotemporally coordinated processes t...
RATIONALE AND OBJECTIVES: Large Language models (LLMs) are novel tools with promising applications i...
EEG microstates are brief and discrete topographic patterns of electrical brain activity. Microstate...