AIMC Topic: Aged, 80 and over

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Reduction of Time on the Ground Related to Real-Time Video Detection of Falls in Memory Care Facilities: Observational Study.

Journal of medical Internet research Jun 17, 2021
BACKGROUND: Lying on the floor for a long period of time has been described as a critical determinant of prognosis following a fall. In addition to fall-related injuries due to the trauma itself, prolonged immobilization on the floor results in a wid...
Humans Artificial Intelligence Aged Aged, 80 and over
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Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer's disease, mild cognitive impairment and healthy ageing.

Journal of neural engineering Jun 17, 2021
This study aimed to produce a novel deep learning (DL) model for the classification of subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI) subjects and healthy ageing (HA) subjects using resting-state scalp electroencephalogram (E...
Humans Aged Aged, 80 and over Electroencephalography Alzheimer Disease Healthy Aging Adult Middle Aged Deep Learning Cognitive Dysfunction
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Deep Learning-Based Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction: A Point-of-Care Solution.

Circulation. Cardiovascular imaging Jun 15, 2021
BACKGROUND: We have recently tested an automated machine-learning algorithm that quantifies left ventricular (LV) ejection fraction (EF) from guidelines-recommended apical views. However, in the point-of-care (POC) setting, apical 2-chamber views are...
Echocardiography, Three-Dimensional Female Reproducibility of Results Aged Aged, 80 and over Stroke Volume Humans Point-of-Care Systems Algorithms Middle Aged Young Adult Prospective Studies Deep Learning Heart Ventricles Adult Male Ventricular Function, Left
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A Novel Automatic Morphologic Analysis of Eyelids Based on Deep Learning Methods.

Current eye research Jun 14, 2021
: To propose a deep-learning-based approach to automatically and objectively evaluate morphologic eyelid features using two-dimensional(2D) digital photographs and to assess the agreement between automatic and manual measurements.: The 2D photographs...
Aged, 80 and over Young Adult Adult Cornea Child, Preschool Male Image Processing, Computer-Assisted Humans Child Middle Aged Automation Female Deep Learning Eyelids Reproducibility of Results Adolescent Aged
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Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study.

Scientific reports Jun 14, 2021
There is little evidence on the applicability of deep learning (DL) in the segmentation of acute ischemic lesions on diffusion-weighted imaging (DWI) between magnetic resonance imaging (MRI) scanners of different manufacturers. We retrospectively inc...
Diffusion Magnetic Resonance Imaging Aged Humans Aged, 80 and over Radiologists Deep Learning Brain Male Ischemic Stroke Image Interpretation, Computer-Assisted Retrospective Studies Middle Aged Female Datasets as Topic
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A comparison of the fusion model of deep learning neural networks with human observation for lung nodule detection and classification.

The British journal of radiology Jun 11, 2021
OBJECTIVES: To compare the diagnostic performance of a newly developed artificial intelligence (AI) algorithm derived from the fusion of convolution neural networks (CNN) versus human observers in the estimation of malignancy risk in pulmonary nodule...
Tomography, X-Ray Computed Female Aged Humans Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Deep Learning Iohexol Imaging, Three-Dimensional Adult Observation Lung Neoplasms Male Contrast Media Middle Aged
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Quantitative gait analysis of idiopathic normal pressure hydrocephalus using deep learning algorithms on monocular videos.

Scientific reports Jun 11, 2021
A vision-based gait analysis method using monocular videos was proposed to estimate temporo-spatial gait parameters by leveraging deep learning algorithms. This study aimed to validate vision-based gait analysis using GAITRite as the reference system...
Male Deep Learning Gait Analysis Hydrocephalus, Normal Pressure Vision, Monocular Republic of Korea Female Aged Aged, 80 and over Humans Algorithms Prospective Studies
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A different overview of staging PET/CT images in patients with esophageal cancer: the role of textural analysis with machine learning methods.

Annals of nuclear medicine Jun 9, 2021
OBJECTIVE: This study evaluates the ability of several machine learning (ML) algorithms, developed using volumetric and texture data extracted from baseline F-FDG PET/CT studies performed initial staging of patient with esophageal cancer (EC), to pre...
Fluorodeoxyglucose F18 Positron Emission Tomography Computed Tomography Neoplasm Staging Esophageal Neoplasms Survival Analysis Algorithms Retrospective Studies Female Aged Male Humans Middle Aged Machine Learning Image Processing, Computer-Assisted Aged, 80 and over Adult
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Comparison of British Thyroid Association, American College of Radiology TIRADS and Artificial Intelligence TIRADS with histological correlation: diagnostic performance for predicting thyroid malignancy and unnecessary fine needle aspiration rate.

The British journal of radiology Jun 9, 2021
OBJECTIVES: To compare diagnostic performance of British Thyroid Association (BTA), American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) and Artificial Intelligence TIRADS (AI-TIRADS) for thyroid nodule malignancy. To ...
Humans Artificial Intelligence Adolescent Adult Thyroidectomy Practice Guidelines as Topic Retrospective Studies Predictive Value of Tests Sensitivity and Specificity Thyroid Neoplasms Biopsy, Fine-Needle Female Neoplasm Grading Male Ultrasonography Unnecessary Procedures Aged Middle Aged Aged, 80 and over
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XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes.

Scientific reports Jun 9, 2021
This study aimed to identify the optimal features of gait parameters to predict the fall risk level in older adults. The study included 746 older adults (age: 63-89 years). Gait tests (20 m walkway) included speed modification (slower, preferred, and...
Gait Analysis Humans Middle Aged Walking Speed Prognosis Accidental Falls Walking Aged Gait Aged, 80 and over Machine Learning Software
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