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Geriatrics Subcategories: Alzheimer's Disease Medicare

Showing 1912-1932 of 11,315 articles

Letter to the Editor regarding "Prediction of PFAS bioaccumulation in different plant tissues with machine learning models based on molecular fingerprints" by Song et al. (2024), Sci. Total Environ. 950 175091.

Song et al. (2024), "Prediction of PFAS bioaccumulation in different plant tissues with machine lear...

Jul 2025 40412074

Relational Bi-level aggregation graph convolutional network with dynamic graph learning and puzzle optimization for Alzheimer's classification.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by a progressive cognitive de...

Jul 2025 40413896

Brain Fractal Dimension and Machine Learning can predict first-episode psychosis and risk for transition to psychosis.

Although there are notable structural abnormalities in the brain associated with psychotic diseases,...

Jul 2025 40424766

Development and validation of a convenient dementia risk prediction tool for diabetic population: A large and longitudinal machine learning cohort study.

BACKGROUND: Diabetes mellitus has been shown to increase the risk of dementia, with diabetic patient...

Jul 2025 40147608

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning

Congenital heart disease (CHD) presents complex, lifelong challenges often underrepresented in tra...

Jun 2025 http://arxiv.org/abs/2506.23998v1

Deep Learning in Mild Cognitive Impairment Diagnosis using Eye Movements and Image Content in Visual Memory Tasks

The global prevalence of dementia is projected to double by 2050, highlighting the urgent need for...

Jun 2025 http://arxiv.org/abs/2506.23016v1

X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis

Interpretable models are crucial for supporting clinical decision-making, driving advances in thei...

Jun 2025 http://arxiv.org/abs/2506.20267v1

Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers

Family caregivers of individuals with Alzheimer's Disease and Related Dementia (AD/ADRD) face sign...

Jun 2025 http://arxiv.org/abs/2506.15047v1

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI

Accurate diagnosis of brain disorders such as Alzheimer's disease and brain tumors remains a criti...

Jun 2025 http://arxiv.org/abs/2506.14367v1

Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model

Early diagnosis of Alzheimer's Disease (AD), especially at the mild cognitive impairment (MCI) sta...

Jun 2025 http://arxiv.org/abs/2506.09695v1

Effective Red-Teaming of Policy-Adherent Agents

Task-oriented LLM-based agents are increasingly used in domains with strict policies, such as refu...

Jun 2025 http://arxiv.org/abs/2506.09600v1

Toward AI-Driven Precision Measurement of Cognition, Behavior, and Psychological Function in Aging and Alzheimer's Disease and Alzheimer's Disease-Related Dementias.

The National Institute on Aging (NIA) is at the forefront of leveraging advances in artificial intel...

Jun 2025 40036675

Nonlinear Associations of Accelerometer-Based Sedentary Time With Cognitive Functions in the UK Biobank.

OBJECTIVES: Device-based sedentary time shows a nonlinear association with incident dementia among o...

Jun 2025 40247819

Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking

Deep transformer models have been used to detect linguistic anomalies in patient transcripts for e...

Jun 2025 http://arxiv.org/abs/2506.05610v1

Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering

Deep learning models have shown strong performance in classifying Alzheimer's disease (AD) from R2...

Jun 2025 http://arxiv.org/abs/2506.03890v1

Geriatrics

Browse Categories

Letter to the Editor regarding "Prediction of PFAS bioaccumulation in different plant tissues with machine learning models based on molecular fingerprints" by Song et al. (2024), Sci. Total Environ. 950 175091.

Relational Bi-level aggregation graph convolutional network with dynamic graph learning and puzzle optimization for Alzheimer's classification.

Brain Fractal Dimension and Machine Learning can predict first-episode psychosis and risk for transition to psychosis.

Development and validation of a convenient dementia risk prediction tool for diabetic population: A large and longitudinal machine learning cohort study.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning

Deep Learning in Mild Cognitive Impairment Diagnosis using Eye Movements and Image Content in Visual Memory Tasks

X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis

Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI

Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model

Effective Red-Teaming of Policy-Adherent Agents

Toward AI-Driven Precision Measurement of Cognition, Behavior, and Psychological Function in Aging and Alzheimer's Disease and Alzheimer's Disease-Related Dementias.

Nonlinear Associations of Accelerometer-Based Sedentary Time With Cognitive Functions in the UK Biobank.

Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking

Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering

Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer's Disease Detection

petBrain: A New Pipeline for Amyloid, Tau Tangles and Neurodegeneration Quantification Using PET and MRI

Deep learning reveals pathology-confirmed neuroimaging signatures in Alzheimer's, vascular and Lewy body dementias.

Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models

CogniAlign: Word-Level Multimodal Speech Alignment with Gated Cross-Attention for Alzheimer's Detection

GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes

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