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Geriatrics Subcategories: Alzheimer's Disease Medicare

Showing 2038-2058 of 11,315 articles

Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection

Alzheimer's disease (AD) leads to progressive cognitive decline, making early detection crucial fo...

Apr 2025 http://arxiv.org/abs/2504.03230v2

AD-GPT: Large Language Models in Alzheimer's Disease

Large language models (LLMs) have emerged as powerful tools for medical information retrieval, yet...

Apr 2025 http://arxiv.org/abs/2504.03071v1

MENA: Multimodal Epistemic Network Analysis for Visualizing Competencies and Emotions

The need to improve geriatric care quality presents a challenge that requires insights from stakeh...

Apr 2025 http://arxiv.org/abs/2504.02794v1

Machine learning reveals connections between preclinical type 2 diabetes subtypes and brain health.

Previous research has established type 2 diabetes mellitus as a significant risk factor for various ...

Apr 2025 39932872

Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification

Alzheimer's Disease is a progressive neurological disorder that is one of the most common forms of...

Apr 2025 http://arxiv.org/abs/2504.01329v1

Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation

The causal relationships between biomarkers are essential for disease diagnosis and medical treatm...

Apr 2025 http://arxiv.org/abs/2504.08768v1

GKAN: Explainable Diagnosis of Alzheimer's Disease Using Graph Neural Network with Kolmogorov-Arnold Networks

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that poses significant diagno...

Apr 2025 http://arxiv.org/abs/2504.00946v1

Evaluating Traditional, Deep Learning and Subfield Methods for Automatically Segmenting the Hippocampus From MRI.

Given the relationship between hippocampal atrophy and cognitive impairment in various pathological ...

Apr 2025 40143669

Dynamic and Static Structure-Function Coupling With Machine Learning for the Early Detection of Alzheimer's Disease.

The progression of Alzheimer's disease (AD) involves complex changes in brain structure and function...

Apr 2025 40193134

[Machine learning models established to distinguish OA and RA based on immune factors in the knee joint fluid].

Objective Based on 25 indicators including immune factors, cell count classification, and smear resu...

Apr 2025 40260566

Improving Diseases Predictions Utilizing External Bio-Banks

Machine learning has been successfully used in critical domains, such as medicine. However, extrac...

Mar 2025 http://arxiv.org/abs/2504.00036v1

"Is There Anything Else?'': Examining Administrator Influence on Linguistic Features from the Cookie Theft Picture Description Cognitive Test

Alzheimer's Disease (AD) dementia is a progressive neurodegenerative disease that negatively impac...

Mar 2025 http://arxiv.org/abs/2503.20104v1

Early Prediction of Alzheimer's and Related Dementias: A Machine Learning Approach Utilizing Social Determinants of Health Data

Alzheimer's disease and related dementias (AD/ADRD) represent a growing healthcare crisis affectin...

Mar 2025 http://arxiv.org/abs/2503.16560v1

PHGNN: A Novel Prompted Hypergraph Neural Network to Diagnose Alzheimer's Disease

The accurate diagnosis of Alzheimer's disease (AD) and prognosis of mild cognitive impairment (MCI...

Mar 2025 http://arxiv.org/abs/2503.14577v1

Alzheimer's Disease Classification Using Retinal OCT: TransnetOCT and Swin Transformer Models

Retinal optical coherence tomography (OCT) images are the biomarkers for neurodegenerative disease...

Mar 2025 http://arxiv.org/abs/2503.11511v1

OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values

Alzheimer's disease, a neurodegenerative disorder, is associated with neural, genetic, and proteom...

Mar 2025 http://arxiv.org/abs/2503.11282v1

TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection

Photoplethysmography (PPG) sensors have been widely used in consumer wearable devices to monitor h...

Mar 2025 http://arxiv.org/abs/2503.10733v1

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes

Alzheimer's disease (AD) is a major neurodegenerative condition that affects millions around the w...

Mar 2025 http://arxiv.org/abs/2503.05031v1

Geriatrics

Browse Categories

Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection

AD-GPT: Large Language Models in Alzheimer's Disease

MENA: Multimodal Epistemic Network Analysis for Visualizing Competencies and Emotions

Machine learning reveals connections between preclinical type 2 diabetes subtypes and brain health.

Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification

Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation

GKAN: Explainable Diagnosis of Alzheimer's Disease Using Graph Neural Network with Kolmogorov-Arnold Networks

Evaluating Traditional, Deep Learning and Subfield Methods for Automatically Segmenting the Hippocampus From MRI.

Dynamic and Static Structure-Function Coupling With Machine Learning for the Early Detection of Alzheimer's Disease.

[Machine learning models established to distinguish OA and RA based on immune factors in the knee joint fluid].

Improving Diseases Predictions Utilizing External Bio-Banks

"Is There Anything Else?'': Examining Administrator Influence on Linguistic Features from the Cookie Theft Picture Description Cognitive Test

Early Prediction of Alzheimer's and Related Dementias: A Machine Learning Approach Utilizing Social Determinants of Health Data

PHGNN: A Novel Prompted Hypergraph Neural Network to Diagnose Alzheimer's Disease

Alzheimer's Disease Classification Using Retinal OCT: TransnetOCT and Swin Transformer Models

OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values

TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes

BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification

Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion

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

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