Geriatrics

Alzheimer's Disease

Latest AI and machine learning research in alzheimer's disease for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 1933-1953 of 12,129 articles
Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Application to Alzheimer's disease continuum.

OBJECTIVE: The aim of this study was to evaluate the effect of electroencephalographic (EEG) volume ...

Oct 2019 31470433
MCADNNet: Recognizing Stages of Cognitive Impairment through Efficient Convolutional fMRI and MRI Neural Network Topology Models.

Mild cognitive impairment (MCI) represents the intermediate stage between normal cerebral aging and ...

(1)
Oct 2019 32021737
Review of outcome measures in PARO robot intervention studies for dementia care.

The aim of this study was to describe interventions for PARO, as well as the outcomes evaluated and ...

Oct 2019 31668459
Hippocampal segmentation for brains with extensive atrophy using three-dimensional convolutional neural networks.

Hippocampal volumetry is a critical biomarker of aging and dementia, and it is widely used as a pred...

Oct 2019 31609046
Person transfer assist systems: a literature review.

OBJECTIVE: Novel developments in the robotics field have produced systems that can support person wh...

Oct 2019 31607186
Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction.

One of the main technical challenges of PET/MRI is to achieve an accurate PET attenuation correction...

Oct 2019 31589623
Developing assistive robots for people with mild cognitive impairment and mild dementia: a qualitative study with older adults and experts in aged care.

OBJECTIVES: This research is part of an international project to design and test a home-based health...

Sep 2019 31551392
Using path signatures to predict a diagnosis of Alzheimer's disease.

The path signature is a means of feature generation that can encode nonlinear interactions in data i...

Sep 2019 31536538
Quantifying brain metabolism from FDG-PET images into a probability of Alzheimer's dementia score.

F-fluorodeoxyglucose positron emission tomography (FDG-PET) enables in-vivo capture of the topograp...

Sep 2019 31507022
The benefits of and barriers to using a social robot PARO in care settings: a scoping review.

BACKGROUND: Given the complexity of providing dementia care in hospitals, integrating technology int...

Aug 2019 31443636
Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language.

Real time hand movement trajectory tracking based on machine learning approaches may assist the earl...

Aug 2019 32066992
Toward an interpretable Alzheimer's disease diagnostic model with regional abnormality representation via deep learning.

In this paper, we propose a novel method for magnetic resonance imaging based Alzheimer's disease (A...

(1)
Aug 2019 31446125
Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View.

Mild cognitive impairment (MCI) is an intermediate stage of brain cognitive decline, associated with...

Aug 2019 31403449
Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing.

INTRODUCTION: Previous biomedical studies identified many lifestyle exposures that could possibly re...

Aug 2019 31476655
Trends in Alzheimer's Disease Research Based upon Machine Learning Analysis of PubMed Abstracts.

About 29.8 million people worldwide had been diagnosed with Alzheimer's disease (AD) in 2015, and th...

Aug 2019 31592230
Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models.

Neuroimaging and genetic biomarkers have been widely studied from discriminative perspectives toward...

Jul 2019 31380772
Telepresence robots: Encouraging interactive communication between family carers and people with dementia.

OBJECTIVE: The aim of the study was to explore the feasibility of using telepresence robots to encou...

(1)
Jul 2019 31364792
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.

While convolutional neural network (CNN) has been demonstrating powerful ability to learn hierarchic...

Jul 2019 31329111
Deep Learning Algorithms for Corneal Amyloid Deposition Quantitation in Familial Amyloidosis.

OBJECTIVES: The aim of this study was to train and validate deep learning algorithms to quantitate r...

Jul 2019 32002407
Using deep Siamese neural networks for detection of brain asymmetries associated with Alzheimer's Disease and Mild Cognitive Impairment.

In recent studies, neuroanatomical volume and shape asymmetries have been seen during the course of ...

(1)
Jul 2019 31319126
Assessment of lipid peroxidation and artificial neural network models in early Alzheimer Disease diagnosis.

OBJECTIVE: Lipid peroxidation constitutes a molecular mechanism involved in early Alzheimer Disease ...

Jul 2019 31319065
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