Geriatrics

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

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Showing 3067-3087 of 8,119 articles
MedGAN: Medical image translation using GANs.

Image-to-image translation is considered a new frontier in the field of medical image analysis, with...

Nov 2019 31812132
A general end-to-end diagnosis framework for manufacturing systems.

The manufacturing sector is envisioned to be heavily influenced by artificial-intelligence-based tec...

Nov 2019 34692057
Evaluation of Balance and Fall Risk in Patients with Plantar Fasciitis Syndrome.

OBJECTIVES: In this study, we aimed to investigate plantar fasciitis syndrome on balance and the ris...

Nov 2019 32377120
IoT-Enabled Dual-Arm Motion Capture and Mapping for Telerobotics in Home Care.

With the paradigm shift from hospital-centric healthcare to home-centric healthcare in Healthcare 4....

Nov 2019 31751288
Real-Time Extraction of Important Surgical Phases in Cataract Surgery Videos.

The present study aimed to conduct a real-time automatic analysis of two important surgical phases, ...

Nov 2019 31719589
Genome-wide prediction and prioritization of human aging genes by data fusion: a machine learning approach.

BACKGROUND: Machine learning can effectively nominate novel genes for various research purposes in t...

Nov 2019 31706268
SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder.

White matter hyperintensities (WMHs) of presumed vascular origin are frequently observed in magnetic...

Nov 2019 31835288
Wearable Fall Detector Using Recurrent Neural Networks.

Falls have become a relevant public health issue due to their high prevalence and negative effects i...

Nov 2019 31717442
Fall Risk Prediction in Multiple Sclerosis Using Postural Sway Measures: A Machine Learning Approach.

Numerous postural sway metrics have been shown to be sensitive to balance impairment and fall risk i...

Nov 2019 31695127
Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease.

Parkinson's disease is the second most common neurodegenerative disease in the elderly after Alzheim...

Nov 2019 31734535
Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network.

3D medical image registration is of great clinical importance. However, supervised learning methods ...

Nov 2019 31689224
A distributed multitask multimodal approach for the prediction of Alzheimer's disease in a longitudinal study.

Predicting the progression of Alzheimer's Disease (AD) has been held back for decades due to the lac...

Nov 2019 31678502
Single-slice Alzheimer's disease classification and disease regional analysis with Supervised Switching Autoencoders.

BACKGROUND: Alzheimer's disease (AD) is a difficult to diagnose pathology of the brain that progress...

Oct 2019 31765915
A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset.

The automatic recognition of human falls is currently an important topic of research for the compute...

Oct 2019 31698242
A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data.

BACKGROUND: Dementia with Lewy bodies (DLB) is the second most common subtype of neurodegenerative d...

Oct 2019 31666070
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 ...

Oct 2019 32021737
Voice-Controlled Intelligent Personal Assistants to Support Aging in Place.

BACKGROUND/OBJECTIVES: Many older adults wish to age in place, and voice-controlled intelligent pers...

Oct 2019 31617581
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
Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI.

Several studies have already assessed brain network variations in multiple sclerosis (MS) patients a...

Oct 2019 31698238
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