Geriatrics

Geriatrics

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

8,119 articles

Subcategories: Alzheimer's Disease Medicare

Showing 3004-3024 of 8,119 articles

BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets.

Understanding how cognitive functions emerge from brain structure depends on quantifying how discret...

Mar 2020 32139786

A machine learning-based linguistic battery for diagnosing mild cognitive impairment due to Alzheimer's disease.

There is a limited evaluation of an independent linguistic battery for early diagnosis of Mild Cogni...

Mar 2020 32134942

Factors that affect younger and older adults' causal attributions of robot behaviour.

Stereotypes are cognitive shortcuts that facilitate efficient social judgments about others. Just as...

Mar 2020 32096445

Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications.

The identification of drug-drug interactions (DDIs) is important for patient safety; yet, compared t...

Mar 2020 32308896

Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm.

OBJECTIVE: Predicting the risk of falls in advance can benefit the quality of care and potentially r...

Mar 2020 32193089

The Effect of Using PARO for People Living With Dementia and Chronic Pain: A Pilot Randomized Controlled Trial.

OBJECTIVES: To evaluate the effect of interaction with a robotic seal (PARO) on pain and behavioral ...

Feb 2020 32122797

A novel CNN based Alzheimer's disease classification using hybrid enhanced ICA segmented gray matter of MRI.

Predicting Alzheimer's Disease (AD) from Mild Cognitive Impairment (MCI) and Cognitive Normal (CN) h...

Feb 2020 32220743

A proof of concept machine learning analysis using multimodal neuroimaging and neurocognitive measures as predictive biomarker in bipolar disorder.

BACKGROUND: Concomitant use of complementary, multimodal imaging measures and neurocognitive measure...

Feb 2020 32143176

A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment.

BACKGROUND: The detection of Alzheimer's Disease (AD) in its formative stages, especially in Mild Co...

Feb 2020 32085774

Automatic opportunistic osteoporosis screening using low-dose chest computed tomography scans obtained for lung cancer screening.

OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In th...

Feb 2020 32072260

Measuring the impact of age, gender and dementia on communication-robot interventions in residential care homes.

AIM: The primary aim of this study was to examine the impact of age, gender and the stage of dementi...

Feb 2020 32077237

Space-independent community and hub structure of functional brain networks.

Coordinated brain activity reflects underlying cognitive processes and can be modeled as a network o...

Feb 2020 32061801

A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers.

Run-off-road (ROR) crashes have always been a major concern as this type of crash is usually associa...

Feb 2020 32065912

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BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets.

A machine learning-based linguistic battery for diagnosing mild cognitive impairment due to Alzheimer's disease.

Factors that affect younger and older adults' causal attributions of robot behaviour.

Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications.

Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm.

The Effect of Using PARO for People Living With Dementia and Chronic Pain: A Pilot Randomized Controlled Trial.

A novel CNN based Alzheimer's disease classification using hybrid enhanced ICA segmented gray matter of MRI.

A proof of concept machine learning analysis using multimodal neuroimaging and neurocognitive measures as predictive biomarker in bipolar disorder.

A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment.

Automatic opportunistic osteoporosis screening using low-dose chest computed tomography scans obtained for lung cancer screening.

Measuring the impact of age, gender and dementia on communication-robot interventions in residential care homes.

Space-independent community and hub structure of functional brain networks.

A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers.

An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis.

Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest.

On the localness modeling for the self-attention based end-to-end speech synthesis.

Predicting sporadic Alzheimer's disease progression via inherited Alzheimer's disease-informed machine-learning.

Towards an ontology of cognitive processes and their neural substrates: A structural equation modeling approach.

A review of recent research in social robotics.

Reconstruction of natural visual scenes from neural spikes with deep neural networks.

Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records.

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