Neurology

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

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Voice-Based Parkinson's Disease Diagnosis: A Data-Augmented Study of Deterministic and Stochastic Feature Selection Methods.

INTRODUCTION: Voice analysis is a promising method for diagnosing Parkinson's disease (PD); however,...

Jun 2026 42250952
Development and internal validation of a clinical prediction model for hemodialysis-related headache using LASSO and Boruta feature selection.

A common neurological symptom in dialysis patients is hemodialysis-related headache (HRH), which can...

(1)
Jun 2026 42251100
Measurement fidelity, not model complexity, governs individual cognitive trajectory prediction in Parkinson's disease.

Whether individual-level cognitive trajectories in Parkinson's disease are predictable remains unres...

Jun 2026 42251160
Effects of cerebral infarction on cognitive and speech performance.

OBJECTIVE: The present study sought to identify the cognitive features and speech features that migh...

(1)
Jun 2026 42251351
Quantitative sleep EEG identifies CSF core biomarker-related subgroups in Alzheimer's disease.

Early detection and biological characterization of Alzheimer's disease (AD) remain challenging, as c...

(1)
Jun 2026 42249255
Self-tuned healthy homogeneous core: Addressing heterogeneities in biomedical datasets.

Heterogeneity within healthy biomedical populations can degrade disease-classification performance b...

(1)
Jun 2026 42263371
Effectiveness of passive vs. assistive robotic gait training on functional recovery and neuroplasticity post-stroke: A randomized controlled trial.

OBJECTIVE: This study seeks to compare the impacts of various robotic gait training (RAGT) modes on ...

Jun 2026 42263540
Cascaded Deep Learning enables multimodal brain PET spatial normalization and quantification for Alzheimer's disease.

Semi-quantitative positron emission tomography (PET) analysis, particularly Centiloid and CenTauRz s...

Jun 2026 42250835
Machine learning and deep learning for neurological disease analysis: A systematic review across five major disorders.

Artificial Intelligence (AI) has become integral to the research of neurological diseases due to the...

Jun 2026 42250854
Stacking machine learning model for risk stratification of acute respiratory distress syndrome after traumatic brain injury: a multicenter retrospective study.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a severe complication after traumatic brai...

(2)
Jun 2026 42246389
Use of artificial intelligence in magnetic resonance imaging across the epileptic patient's journey: A meta-analysis of four clinical applications.

OBJECTIVE: The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance...

Jun 2026 42246704
Whole anterior visual pathway segmentation from high-resolution MRI using artificial intelligence.

OBJECTIVE: Manual segmentation of the whole anterior visual pathway (aVP) from high-resolution magne...

(1)
Jun 2026 42247118
Raw EEG as a viable alternative to engineered decompositions in anesthetic depth prediction.

PURPOSE: Assessing the depth of anesthesia remains a challenge in operating rooms worldwide, as hosp...

Jun 2026 42247172
Developing and Testing a Brief Mindfulness Just-in-Time Adaptive Intervention to Reduce Stress Among Caregivers of People With Dementia: Quasi-Experimental Study.

BACKGROUND: Dementia caregiving entails chronic, fluctuating stress with downstream risks to caregiv...

(1)
Jun 2026 42247635
Application of Focused Ultrasound in Alzheimer's Disease: A Bibliometric Analysis.

OBJECTIVE: This study uses bibliometric analysis and knowledge mapping methods to systematically exp...

(3)
Jun 2026 42247667
Robust multi-centre interictal EEG biomarker for distinguishing epilepsy from mimickers.

OBJECTIVE: To develop and validate an interpretable multi-centre interictal EEG biomarker for distin...

(1)
Jun 2026 42248169
Uncertainty-aware multi-path framework with dynamic arbitration for Alzheimer's disease MRI classification.

As a progressive neurodegenerative disorder, Alzheimer's disease (AD) requires early and accurate di...

Jun 2026 42248171
Enhanced vertebrae localization in CT volumes: a two-stage deep learning framework.

BACKGROUND: Vertebral landmark localization in computed tomography (CT) volumes is crucial for spina...

Jun 2026 42249287
Prediction of an fMRI-based schizophrenia biomarker from EEG using dynamic functional connectivity: a simultaneous EEG-fMRI study.

OBJECTIVE: Recent advances in functional magnetic resonance imaging (fMRI) have identified brain fun...

Jun 2026 42246086
Multimodal neuroimaging-based deep learning framework for pattern analysis and early prediction of neurodegenerative diseases.

Neurodegenerative diseases, such as Mild Cognitive Impairment (MCI) and Alzheimer's, pose significan...

Jun 2026 42248234
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