Neurology

Dementia

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

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Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification

Dementia, a neurological disorder impacting millions globally, presents significant challenges in ...

(1)
The order in speech disorder: a scoping review of state of the art machine learning methods for clinical speech classification

Background:Speech patterns have emerged as potential diagnostic markers for conditions with varyin...

(1)
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels

Accurately discriminating progressive stages of Alzheimer's Disease (AD) is crucial for early diag...

Modality-Agnostic Style Transfer for Holistic Feature Imputation

Characterizing a preclinical stage of Alzheimer's Disease (AD) via single imaging is difficult as ...

Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification

Stacking excessive layers in DNN results in highly underdetermined system when training samples ar...

Dementia Insights: A Context-Based MultiModal Approach

Dementia, a progressive neurodegenerative disorder, affects memory, reasoning, and daily functioni...

Cross-Attention Fusion of MRI and Jacobian Maps for Alzheimer's Disease Diagnosis

Early diagnosis of Alzheimer's disease (AD) is critical for intervention before irreversible neuro...

NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis

Alzheimer's disease (AD) diagnosis is complex, requiring the integration of imaging and clinical d...

(1)
SBERO: Skill Al-Biruni Earth Radius Optimization for Alzheimer's Disease Classification Using Magnetic Resonance Image.

Alzheimer's disease (AD) is the most prevalent form of dementia, characterized by progressive memory...

Mar 2025 39887547
A deep-learning retinal aging biomarker for cognitive decline and incident dementia.

INTRODUCTION: The utility of retinal photography-derived aging biomarkers for predicting cognitive d...

Mar 2025 40042460
MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer's Detection

Dementia is a progressive cognitive syndrome with Alzheimer's disease (AD) as the leading cause. C...

(1)
[Classification of Alzheimer's disease based on multi-example learning and multi-scale feature fusion].

Alzheimer's disease (AD) classification models usually segment the entire brain image into voxel blo...

(2)
Feb 2025 40000185
Predictability of temporal network dynamics in normal ageing and brain pathology

Spontaneous brain activity generically displays transient spatiotemporal coherent structures, whic...

(4)
Utilizing Sequential Information of General Lab-test Results and Diagnoses History for Differential Diagnosis of Dementia

Early diagnosis of Alzheimer's Disease (AD) faces multiple data-related challenges, including high...

(1)
The Relationship Between Head Injury and Alzheimer's Disease: A Causal Analysis with Bayesian Networks

This study examines the potential causal relationship between head injury and the risk of developi...

Targeting C99 Mediated Metabolic Disruptions with Ketone Therapy in Alzheimer's Disease

The role of ketone bodies in Alzheimers disease (AD) remains incompletely understood, particularly...

Developing Conversational Speech Systems for Robots to Detect Speech Biomarkers of Cognition in People Living with Dementia

This study presents the development and testing of a conversational speech system designed for rob...

(3)
NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech

The early diagnosis of Alzheimer's Disease (AD) through non invasive methods remains a significant...

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model

In the analysis of remote healthcare monitoring data, time series representation learning offers s...

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