Latest AI and machine learning research in neurology for healthcare professionals.
Cervical spine fractures represent a potentially catastrophic consequence of blunt trauma. Early ide...
BACKGROUND: Paraspinal muscle degeneration with fatty infiltration and atrophy is well-documented in...
PURPOSE: Studies of eye movements have evolved from clinical phenomenology to a probe of neural circ...
PURPOSE: 18F-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET)/Computerized Tomography (CT...
Alzheimer's disease-cancer research (ADCR) has gained increasing attention due to paradoxical epidem...
Traditional radiomic studies build texture matrices using single-voxel increments. However, useful i...
BACKGROUND: Deficiencies in knowledge and skills related to the management of medical emergencies in...
BACKGROUND: Parkinson disease frequently manifests early vocal impairment, motivating the developmen...
Drug-resistant epilepsy (DRE) affects millions of people worldwide and remains a major therapeutic c...
In recent years, Electroencephalographic (EEG) analysis has gained prominence in stress research whe...
Alzheimer's disease (AD) is characterized by progressive disruption of large-scale neural networks, ...
Despite advances in pharmacotherapy, approximately one-third of individuals with epilepsy develop dr...
OBJECTIVES: This study aims to explore the ability to identify high-grade intracranial arterial sten...
Minimally conscious state (MCS) is characterized by inconsistent but clearly discernible clinical an...
OBJECTIVE: To develop and externally validate an interpretable machine learning model for predicting...
PURPOSE: To develop and validate an explainable deep learning-guided workflow to localize and quanti...
BACKGROUND: Objective and interpretable brain signatures for migraine diagnosis and phenotyping rema...
PURPOSE: To develop an effective deep learning (DL)-based method to denoise arterial spin labeling (...
Despite recent advances in medical image segmentation, deep learning applications in musculoskeletal...
Introduced in 2014 and revised in 2018, the entropic brain hypothesis has accrued a wealth of suppor...
BACKGROUND: Timely and accurate prediction of poststroke motor outcome is important for efficient re...