Neurology

Latest AI and machine learning research in neurology for healthcare professionals.

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Showing 568-588 of 12,810 articles
Digital and Smart Technologies for Early Pressure Injury Detection and Prevention in Stroke and Mobility-Impaired Patients: A Scoping Review.

BACKGROUND: Pressure injuries remain a major complication among stroke and other mobility-impaired p...

(2)
Aug 2026 42591973
Artificial intelligence-based monitoring of multiple sclerosis: A comprehensive survey.

Multiple Sclerosis (MS) is a chronic, highly heterogeneous neurological disease whose fluctuating co...

Aug 2026 42623731
Time-Domain HRV Metrics as Predictors of Concussion Recovery in Adolescents: A Boosted Tree Approach.

BACKGROUND: Concussions in adolescents, especially in sports, represent a major public health issue ...

Aug 2026 42576778
Manual and automated capture of analgesic-responsive facial pain behaviors of unrestrained mice in a trigeminal neuralgia model.

Trigeminal neuralgia (TN), a devastating neuropathic pain condition, profoundly affects human well-b...

(1)
Aug 2026 42578425
Accelerated Brain Aging in Type 1 Diabetes Across Painful and Painless Peripheral Neuropathy: MRI-Based Brain Age Estimates From Deep Learning.

Accelerated brain aging has been reported in diabetes, but its links with diabetic peripheral neurop...

(2)
Aug 2026 42579533
Brainstem Raphe Nuclei and Their Serotonergic Neurons: An Integrative Review of Distribution, Function and Projection.

Serotonergic neurons in the raphe nuclei of the brainstem play a central role in a wide range of phy...

Aug 2026 42580450
Accelerating Focused Ultrasound Modeling in Heterogeneous Spinal Cord Anatomy With Vision Transformer Operator Networks.

OBJECTIVE: The purpose of this work is to develop a data-driven framework for real-time prediction o...

(5)
Aug 2026 42580951
Directed graph neural networks with partial directed coherence for seizure prediction and epileptogenic network characterization.

While electroencephalography (EEG) analyses using undirected connectivity are well-established for s...

(1)
Aug 2026 42621081
Rational drug design for Alzheimer's disease: from approved therapies to next-generation clinical candidates and AI-guided innovation.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by multifactorial...

(3)
Aug 2026 42573081
Spatial-Spectral Fusion Enables Drug Repositioning by Capturing Indirect and Long-Range Associations in Biological Networks.

MOTIVATION: Drug repositioning accelerates clinical translation by identifying new therapeutic indic...

Aug 2026 42573507
Network Analysis-Driven Machine Learning Model for Identifying High-Cost Stroke Inpatients Using Hospital Discharge Data: Retrospective Study.

BACKGROUND: The medical burden caused by stroke is increasingly severe, and a small minority of high...

(1)
Aug 2026 42574699
Clinical application of artificial intelligence technology in epilepsy.

Epilepsy is a prevalent neurological disorder, and its inherent complexity and significant interindi...

(3)
Aug 2026 42572031
Insulin like growth factor and cytokine signalling predict future cognitive impairment in Parkinson's disease.

Cognitive impairment is a common non-motor sym.ptom of neurodegenerative Parkinson's disease (PD). H...

(2)
Aug 2026 42571858
Sociodemographic bias in LLMs' clinical decision-making for dizziness.

ObjectiveAs large language models (LLMs) enter clinical decision support, concerns persist about soc...

(1)
Aug 2026 42569795
The Open Data Commons for Traumatic Brain Injury: An Interagency Community Platform for Pre-Clinical Data Management and Sharing.

The Open Data Commons for Traumatic Brain Injury (ODC-TBI.org) was launched in 2018 to support data ...

(1)
Aug 2026 42569911
Integrative machine learning reveals telomere-associated gene modules reflecting neuronal dysregulation in Alzheimer's disease.

BackgroundTelomere dysfunction contributes to cellular aging and genome instability, but telomere-as...

Aug 2026 42570282
Quantifying generalization error in machine learning prediction of cognitive decline.

BACKGROUND: Predicting cognitive decline as a continuum, from healthy age-related decline to mild co...

Aug 2026 42570468
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