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Geriatrics Subcategories: Alzheimer's Disease Medicare

Showing 1534-1554 of 11,708 articles

Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network.

Plasma protein biomarkers have been considered promising tools for diagnosing dementia subtypes due ...

Jul 2024 PMID: 39226887

Applications of Artificial Intelligence in Psychiatric Nursing: A Scope Review.

Rapid advances in artificial intelligence (AI) have reshaped healthcare, including psychiatric nursi...

Jul 2024 PMID: 39049229

Deep Learning Analysis of Retinal Structures and Risk Factors of Alzheimer's Disease.

The importance of early Alzheimer's Disease screening is becoming more apparent, given the fact that...

Jul 2024 PMID: 40040194

Dementia Detection by In-Text Pause Encoding.

In dementia, particularly Alzheimer's Disease (AD), communication challenges are evident, especially...

Jul 2024 PMID: 40040180

Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease Biomarkers.

Generative approaches for cross-modality transformation have recently gained significant attention i...

Jul 2024 PMID: 40039975

A Regression Framework for Predicting Cognitive Decline in Frontotemporal Dementia using Recurrent Neural Networks.

Frontotemporal dementia (FTD) is a progressive neurodegenerative disorder with a diverse range of sy...

Jul 2024 PMID: 40039940

Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoring.

Sensor-based remote healthcare monitoring is a promising approach for timely detection of adverse he...

Jul 2024 PMID: 40039827

Machine Learning Approach for Music Familiarity Classification with Single-Channel EEG.

Recognition of familiar music on brainwaves through machine learning (ML) can be instrumental in inn...

Jul 2024 PMID: 40039722

Multi-class Prediction of Cognitively Normal / Mild Cognitive Impairment / Alzheimer's Disease Status in Dementia Based on Convolutional Neural Networks with Attention Mechanism.

Alzheimer's disease (AD) is a neurodegenerative disease with insidious onset and progressive develop...

Jul 2024 PMID: 40039646

Artificial Intelligence Based Hierarchical Classification of Frontotemporal Dementia.

Frontotemporal dementia (FTD) is a typical kind of presenile dementia with three main subtypes: beha...

Jul 2024 PMID: 40039638

3D Multi-feature fusion convolutional network for Alzheimer's disease diagnosis.

The cognitive decline caused by Alzheimer's disease (AD) is closely related to the structural change...

Jul 2024 PMID: 40039602

Novel Alzheimer's Disease Stating Based on Comorbidities-Informed Graph Neural Networks.

Alzheimer's Disease (AD), the most prevalent form of dementia, requires early prediction for timely ...

Jul 2024 PMID: 40039558

TAU-DI Net: A Multi-Scale Convolutional Network Combining Prob-Sparse Attention for EEG-based Depression Identification.

EEG-based detection of major depression disorder (MDD) plays a pivotal role in the subsequent treatm...

Jul 2024 PMID: 40039164

Dual Attention Graph Convolutional Network Fusing Imaging and Genetic Data for Early Alzheimer's Disease Diagnosis.

Alzheimer's Disease (AD) poses a significant global neurodegenerative challenge, underscoring the ur...

Jul 2024 PMID: 40039105

Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts.

Deep learning models based on convolutional neural networks (CNNs) have been used to classify Alzhei...

Jul 2024 PMID: 40039079

Graph-based deep learning models in the prediction of early-stage Alzheimers.

Alzheimer's disease is the most common age-related problem and progresses in different stages, from ...

Jul 2024 PMID: 40039021

[An ensemble model for assisting early Alzheimer's disease diagnosis based on structural magnetic resonance imaging with dual-time-point fusion].

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder. Due to the subtlety of symptom...

Jun 2024 PMID: 38932534

EEG-based machine learning models for the prediction of phenoconversion time and subtype in isolated rapid eye movement sleep behavior disorder.

STUDY OBJECTIVES: Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal stage of...

May 2024 PMID: 38330231

Geriatrics

Browse Categories

Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network.

Applications of Artificial Intelligence in Psychiatric Nursing: A Scope Review.

Deep Learning Analysis of Retinal Structures and Risk Factors of Alzheimer's Disease.

Dementia Detection by In-Text Pause Encoding.

Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease Biomarkers.

A Regression Framework for Predicting Cognitive Decline in Frontotemporal Dementia using Recurrent Neural Networks.

Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoring.

Machine Learning Approach for Music Familiarity Classification with Single-Channel EEG.

Multi-class Prediction of Cognitively Normal / Mild Cognitive Impairment / Alzheimer's Disease Status in Dementia Based on Convolutional Neural Networks with Attention Mechanism.

Artificial Intelligence Based Hierarchical Classification of Frontotemporal Dementia.

3D Multi-feature fusion convolutional network for Alzheimer's disease diagnosis.

Novel Alzheimer's Disease Stating Based on Comorbidities-Informed Graph Neural Networks.

TAU-DI Net: A Multi-Scale Convolutional Network Combining Prob-Sparse Attention for EEG-based Depression Identification.

Dual Attention Graph Convolutional Network Fusing Imaging and Genetic Data for Early Alzheimer's Disease Diagnosis.

Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts.

Graph-based deep learning models in the prediction of early-stage Alzheimers.

[An ensemble model for assisting early Alzheimer's disease diagnosis based on structural magnetic resonance imaging with dual-time-point fusion].

AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning.

Disease-driven domain generalization for neuroimaging-based assessment of Alzheimer's disease.

AITeQ: a machine learning framework for Alzheimer's prediction using a distinctive five-gene signature.

EEG-based machine learning models for the prediction of phenoconversion time and subtype in isolated rapid eye movement sleep behavior disorder.

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