Neurology

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

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Exploring the future of ischemic stroke diagnosis and underrecognized etiologies.

INTRODUCTION: Despite traditional workups, accurate diagnosis of patients who are classified under c...

Feb 2026 41656951
CGLK-GNN : A connectome generation network with large kernels for GNN based Alzheimer's disease analysis.

Alzheimer's disease (AD) is a currently incurable neurodegenerative disease, with early detection re...

Feb 2026 41687240
Factors Associated with Machine Learning-Based Predictions of Retinal Aging Using Teleretinal Screening Images from Patients with Diabetes.

PURPOSE: To identify factors associated with accelerated retinal aging based on machine learning pre...

Feb 2026 41853569
The potential of optical coherence tomography angiography in progressive multiple sclerosis.

Early detection and monitoring of neurodegenerative processes in persons with multiple sclerosis (Pw...

Feb 2026 41654639
Accessible assessment of motor and cognitive symptoms in Parkinson's disease: integrating large datasets, machine-learning, and videoconferencing.

In-person motor and cognitive assessments for Parkinson's disease(PD) face accessibility, scalabilit...

Feb 2026 41654698
AI-driven biomarker learning for the early diagnosis of neurodegenerative diseases: ABLEDx.

BACKGROUND: Tears are an easily accessible biofluid that reflects both emotional states and disease ...

Feb 2026 41654846
Performance of machine learning algorithms in diffusion tensor imaging of movement disorders: an exploratory meta-analysis.

BACKGROUND: Machine learning (ML) applied to diffusion tensor imaging (DTI) has emerged as a promisi...

Feb 2026 41654900
TPCNet: A Temporal Periodicity Convolutional Network for motor imagery EEG decoding in stroke patients.

BACKGROUND: Stroke caused by vascular rupture or blockage has high incidence and leads to significan...

Feb 2026 41655642
Machine learning model predicts prognosis in SARS-CoV-2-infected autoimmune encephalitis patients.

OBJECTIVE: To assess the neurological prognosis of patients with autoimmune encephalitis (AE) after ...

Feb 2026 41762950
Real-world use of PACS-integrated automated spine numbering in MRI.

PURPOSE: Traditional methods of vertebral identification have predominantly relied on relative appro...

Feb 2026 41666795
Probabilistic mapping and automated segmentation of human brainstem white matter bundles.

Brainstem white matter (WM) bundles are essential conduits for neural signals that modulate homeosta...

Feb 2026 41650217
An interpretable machine learning framework with data-informed imaging biomarkers for diagnosis and prediction of Alzheimer's disease.

Machine learning methods based on imaging and other clinical data have shown great potential for imp...

(2)
Feb 2026 41655407
VSSI2p-Net: Physics-guided deep unfolding with L2p-norm and variation sparsity for EEG source imaging.

Electroencephalogram (EEG) source imaging (ESI) is highly underdetermined, which poses a long-standi...

Feb 2026 41655611
Optimizing deep CNN architecture via hybrid Harris Hawks arithmetic algorithm for EEG meditation classification.

Meditation is a widely recognized practice that enhances mental well-being and cognitive function. D...

Feb 2026 41655886
LEFF-ViT: A locally enhanced vision transformer framework for accurate Alzheimer's Disease classification from brain MRI.

Early and accurate diagnosis of Alzheimer's Disease (AD) is critical for effective disease managemen...

Feb 2026 41653841
Spatial amyloid-informed multimodal brain age as an early marker of Alzheimer's-related vulnerability and risk stratification.

BACKGROUND: Brain age gap (BAG)-the difference between predicted and chronological age-captures neur...

Feb 2026 41653882
Self-induced large pitch artificial muscles with giant stroke for soft robotic applications.

Achieving large initial coil pitches and contractile strokes in twisted and coiled polymer artificia...

Feb 2026 41529407
Theoretical and applied research on spatio-temporal graph attention networks for single-trial P300 detection.

Objective.Accurate detection of single-trial P300 ERPs (event-related potentials) is crucial for dev...

Feb 2026 41587494
Diagnostic-Mediated Interactive Superlattices Engineering for Threshold-Saltatory Visual Assessment of Tuberculous Meningitis.

Nonlinear dynamic monitoring is crucial for assessing l-tryptophan (l-Trp) dysregulation progression...

(2)
Feb 2026 41649472
Developing and validating a machine learning model for predicting post-thrombolysis seizures in acute ischemic stroke.

Post-stroke seizures (PSS) manifests variably due to ischemic brain injury, yet its risk factors rem...

Feb 2026 41650080
Enhancing Anesthetic Depth Assessment via Unsupervised Machine Learning in Processed Electroencephalography Analysis: Novel Methodological Study.

BACKGROUND: General anesthesia comprises 3 essential components-hypnosis, analgesia, and immobility....

Feb 2026 41650286
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