Neurology

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

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Enhanced visibility graph for EEG classification.

Electroencephalography (EEG) holds immense potential for decoding complex brain patterns associated ...

Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease.

BACKGROUND: The NeuroArtP3 (NET-2018-12366666) is a multicenter study funded by the Italian Ministry...

Deep learning-based automated segmentation for the quantitative diagnosis of cerebral small vessel disease via multisequence MRI.

OBJECTIVE: Existing visual scoring systems for cerebral small vessel disease (CSVD) cannot assess th...

iSeizdiag: toward the framework development of epileptic seizure detection for healthcare.

INTRODUCTION: The seizure episodes result from abnormal and excessive electrical discharges by a gro...

Neuro-symbolic procedural semantics for explainable visual dialogue.

This paper introduces a novel approach to visual dialogue that is based on neuro-symbolic procedural...

Heterogeneity in the association between internet use and dementia among older adults: A machine-learning analysis.

BACKGROUND & AIMS: Internet use among older adults may reduce the risk of dementia, but it remains u...

Reply to Keles et al. Comment on "Dalboni da Rocha et al. Artificial Intelligence for Neuroimaging in Pediatric Cancer. 2025, , 622".

We thank the readers for their thoughtful reading of our review, "Artificial Intelligence for Neuroi...

Comment on Dalboni da Rocha et al. Artificial Intelligence for Neuroimaging in Pediatric Cancer. 2025, , 622.

As researchers actively working in the field of pediatric neuroimaging and artificial intelligence, ...

Computational Risk Stratification of Preclinical Alzheimer's in Younger Adults.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that often begins decades befo...

SLC35A2 loss-of-function variants affect glycomic signatures, neuronal fate and network dynamics.

SLC35A2 encodes a UDP-galactose transporter essential for glycosylation of proteins and galactosylat...

EEG microstate analysis in trigeminal neuralgia: identifying potential biomarkers for enhanced diagnostic accuracy.

OBJECTIVE: This study investigated EEG microstate dynamics in trigeminal neuralgia (TN) patients to ...

EEG Connectivity as Predictor of ICAN ADHD Children's Improvement After Completion of Theta Beta Ratio Neurofeedback: Machine Learning Analyses.

Attention deficit hyperactivity disorder is a prevalent syndrome that costs billions of dollars annu...

Gait analysis for Parkinson's disease using multiscale entropy.

Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by motor dysfunction and...

Abolish Psychiatry, Abolish Neurology: Toward a Unified Discipline of Brain Medicine.

The longstanding division between psychiatry and neurology is a historical artifact, not a scientifi...

Prediction of mild cognitive impairment using blood multi-omics data.

Mild cognitive impairment (MCI) represents an initial phase of memory or other cognitive function de...

Translational computerized clinical decision support systems for Alzheimer's disease: A systematic review.

BackgroundAlzheimer's disease (AD), marked by progressive memory loss and cognitive decline, poses d...

A data-centric and interpretable EEG framework for depression severity grading using SHAP-based insights.

BACKGROUND: Major Depressive Disorder is a leading cause of disability worldwide. An accurate assess...

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