Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Variability in antipsychotic response results from interaction of illness-related, treat...
ObjectivesCarer observations provide valuable longitudinal and contextual information for dementia a...
INTRODUCTION: Stroke is a leading cause of mortality and morbidity worldwide. Magnetic resonance ima...
Traumatic brain injury (TBI) induces secondary neuroinflammation driven by oxidative stress, inflamm...
Diagnosis of Parkinson's disease (PD) remains a major clinical challenge, particularly in the prodro...
PURPOSE: In recent years, artificial intelligence-based language models have emerged as a means of r...
Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder worldwide. Conventional do...
ETHNOPHARMACOLOGICAL RELEVANCE: The dried root of Paeonia lactiflora Pall. has a long history of med...
Parkinson's disease (PD) is a progressive neurodegenerative disorder with a prolonged prodromal phas...
BACKGROUND: The Neurocore-SENSED framework, derived from a three-round modified Delphi process invol...
➢ Adult spinal deformity (ASD) outcomes are poorly predicted by chronological age alone; biological ...
Cerebral aneurysms are complex vascular lesions whose rupture can result in subarachnoid hemorrhage ...
Thirty years on from the introduction of deep brain stimulation as a therapy for Parkinson's disease...
BACKGROUND: Despite advances in epilepsy treatment options, selecting the appropriate therapy for an...
Automated Alzheimer's disease (AD) classification from structural MRI typically employs either featu...
Cerebrospinal fluid biomarkers, and more recently blood-based biomarkers, are playing a pivotal role...
BACKGROUND: There is increasing recognition that trauma exposure and related psychiatric consequence...
OBJECTIVES: This study aimed (1) to quantify the differential impact of deep learning (DL) reconstru...
Existing dyslexia detection methods typically rely on either EEG or screening tests. This study intr...
PURPOSE: To develop a framework that benchmarks penalized statistical inference against explainable ...
BackgroundMild Alzheimer's disease (AD) is associated with alterations in brain activity, which can ...