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Subcategories: Alzheimer's Disease Medicare

Showing 3865-3885 of 7,424 articles

Educational Program Using Robots for Preventing Cognitive Decline of Elderly Persons.

An expected surge of dementia patients in Japan indicates a pressing need to establish countermeasur...

Dec 2021 PMID: 34920577

[The accuracy and influencing factors of sleep staging based on single-channel EEG via a deep neural network].

To investigate theaccuracy of artificial intelligence sleep staging model in patients with habitual...

Dec 2021 PMID: 34963212

[Exploration of applying machine learning in establishment of vitamin D classifiers among Chinese elderly].

To establish vitamin D classification models for Chinese elderly using machine learning techniques....

Dec 2021 PMID: 34963246

Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data.

Alzheimer's disease (AD) is a progressive neurodegenerative brain disorder characterized by memory l...

Dec 2021 PMID: 35299717

Effective End-to-End Deep Learning Process in Medical Imaging Using Independent Task Learning: Application for Diagnosis of Maxillary Sinusitis.

PURPOSE: This study aimed to propose an effective end-to-end process in medical imaging using an ind...

Dec 2021 PMID: 34816643

Augmenting Osteoporosis Imaging with Machine Learning.

PURPOSE OF REVIEW: In this paper, we discuss how recent advancements in image processing and machine...

Dec 2021 PMID: 34741729

Construction of a 5-feature gene model by support vector machine for classifying osteoporosis samples.

Osteoporosis is a progressive bone disease in the elderly and lacks an effective classification meth...

Dec 2021 PMID: 34622712

Simple Convolutional-Based Models: Are They Learning the Task or the Data?

Convolutional neural networks (CNNs) evolved from Fukushima's neocognitron model, which is based on ...

Nov 2021 PMID: 34710905

Automatic segmentation of paravertebral muscles in abdominal CT scan by U-Net: The application of data augmentation technique to increase the Jaccard ratio of deep learning.

Sarcopenia, characterized by a decline of skeletal muscle mass, has emerged as an important prognost...

Nov 2021 PMID: 34871238

Use of deep learning genomics to discriminate Alzheimer's disease and healthy controls.

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and the most common form o...

Nov 2021 PMID: 34892435

Design of Novel End-effectors for Robot-assisted Swab Sampling to Combat Respiratory Infectious Diseases.

The COVID-19 outbreak has caused the mortality worldwide and the use of swab sampling is a common wa...

Nov 2021 PMID: 34892274

Development of a deep learning method for CT-free correction for an ultra-long axial field of view PET scanner.

INTRODUCTION: The possibility of low-dose positron emission tomography (PET) imaging using high sens...

Nov 2021 PMID: 34892133

End to End Unsupervised Rigid Medical Image Registration by Using Convolutional Neural Networks.

In this paper, we focus on the issue of rigid medical image registration using deep learning. Under ...

Nov 2021 PMID: 34892122

End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral Lesions.

In contrast to previous studies that focused on classical machine learning algorithms and hand-craft...

Nov 2021 PMID: 34892083

Early Detection of Low Cognitive Scores from Dual-task Performance Data Using a Spatio-temporal Graph Convolutional Neural Network.

Detecting low cognitive scores at an early stage is important for delaying the progress of dementia....

Nov 2021 PMID: 34891657

Browse Categories

Educational Program Using Robots for Preventing Cognitive Decline of Elderly Persons.

[The accuracy and influencing factors of sleep staging based on single-channel EEG via a deep neural network].

[Exploration of applying machine learning in establishment of vitamin D classifiers among Chinese elderly].

Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data.

Effective End-to-End Deep Learning Process in Medical Imaging Using Independent Task Learning: Application for Diagnosis of Maxillary Sinusitis.

Augmenting Osteoporosis Imaging with Machine Learning.

Construction of a 5-feature gene model by support vector machine for classifying osteoporosis samples.

Simple Convolutional-Based Models: Are They Learning the Task or the Data?

Automatic segmentation of paravertebral muscles in abdominal CT scan by U-Net: The application of data augmentation technique to increase the Jaccard ratio of deep learning.

Use of deep learning genomics to discriminate Alzheimer's disease and healthy controls.

Design of Novel End-effectors for Robot-assisted Swab Sampling to Combat Respiratory Infectious Diseases.

Development of a deep learning method for CT-free correction for an ultra-long axial field of view PET scanner.

End to End Unsupervised Rigid Medical Image Registration by Using Convolutional Neural Networks.

End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral Lesions.

DeepQSMSeg: A Deep Learning-based Sub-cortical Nucleus Segmentation Tool for Quantitative Susceptibility Mapping.

End-To-End Bioluminescence Tomography Reconstruction Based On Convolution Neural Network Scheme.

Input Agnostic Deep Learning for Alzheimer's Disease Classification Using Multimodal MRI Images.

Data-Limited Deep Learning Methods for Mild Cognitive Impairment Classification in Alzheimer's Disease Patients.

Federated Learning via Conditional Mutual Learning for Alzheimer's Disease Classification on T1w MRI.

Leveraging Unsupervised Machine Learning to Discover Patterns in Linguistic Health Summaries for Eldercare.

Early Detection of Low Cognitive Scores from Dual-task Performance Data Using a Spatio-temporal Graph Convolutional Neural Network.

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