AIMC Topic: Aged, 80 and over

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Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model.

The Journal of arthroplasty Jun 20, 2019
BACKGROUND: The objective is to develop and validate an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition before primary total knee arthroplasty (TKA). The secondary objective ...
Humans Neural Networks, Computer Osteoarthritis, Knee Algorithms Databases, Factual Female Reproducibility of Results Risk Factors Aged Length of Stay ROC Curve United States Inpatients Arthroplasty, Replacement, Knee Aged, 80 and over Male Comorbidity Deep Learning
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Deep-learning-based imaging-classification identified cingulate island sign in dementia with Lewy bodies.

Scientific reports Jun 20, 2019
The differentiation of dementia with Lewy bodies (DLB) from Alzheimer's disease (AD) using brain perfusion single photon emission tomography is important but is challenging because these conditions exhibit typical features. The cingulate island sign ...
Lewy Body Disease Lewy Bodies Humans Female Aged Aged, 80 and over Male Deep Learning Positron-Emission Tomography
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Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set.

Magnetic resonance imaging Jun 19, 2019
Carotid-artery atherosclerosis (CA) contributes significantly to overall morbidity and mortality in ischemic stroke. We propose a machine learning technique to automatically identify subjects with CA from a heterogeneous cohort of magnetic resonance ...
Carotid Arteries White Matter Magnetic Resonance Imaging Atherosclerosis Multiple Sclerosis Pattern Recognition, Automated Neuroimaging Male Middle Aged Cohort Studies Support Vector Machine Humans Brain Reproducibility of Results Female Aged Aged, 80 and over Adult Sensitivity and Specificity
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CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE).

IEEE transactions on medical imaging Jun 14, 2019
In this paper, we present a semi-supervised deep learning approach to accurately recover high-resolution (HR) CT images from low-resolution (LR) counterparts. Specifically, with the generative adversarial network (GAN) as the building block, we enfor...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Male Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Abdomen Tibia
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Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography.

Computer methods and programs in biomedicine Jun 14, 2019
BACKGROUND AND OBJECTIVES: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric imaging technique that allows measuring patterns between layers such as small amounts of fluid. Since 2012, automatic medical image analysis performance ...
Aged, 80 and over Middle Aged Deep Learning Area Under Curve Tomography, Optical Coherence Humans Software Macular Edema Diabetic Retinopathy Macular Degeneration Algorithms Neural Networks, Computer Pattern Recognition, Automated Reproducibility of Results Retinal Diseases Aged
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Development of a Natural Language Processing Algorithm to Identify and Evaluate Transgender Patients in Electronic Health Record Systems.

Ethnicity & disease Jun 13, 2019
OBJECTIVE: To create a natural language processing (NLP) algorithm to identify transgender patients in electronic health records.
Natural Language Processing Aged Humans Male Middle Aged Aged, 80 and over Algorithms Transgender Persons Adolescent Young Adult Electronic Health Records Child Adult Female
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Improving human cortical sulcal curve labeling in large scale cross-sectional MRI using deep neural networks.

Journal of neuroscience methods Jun 12, 2019
BACKGROUND: Human cortical primary sulci are relatively stable landmarks and commonly observed across the population. Despite their stability, the primary sulci exhibit phenotypic variability.
Humans Female Aged Aged, 80 and over Adult Magnetic Resonance Imaging Anatomic Landmarks Neuroimaging Cerebral Cortex Male Middle Aged Deep Learning Image Processing, Computer-Assisted
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A Deep Learning Approach for Automated Detection of Geographic Atrophy from Color Fundus Photographs.

Ophthalmology Jun 11, 2019
PURPOSE: To assess the utility of deep learning in the detection of geographic atrophy (GA) from color fundus photographs and to explore potential utility in detecting central GA (CGA).
Geographic Atrophy Humans Female Reproducibility of Results Image Processing, Computer-Assisted Sensitivity and Specificity Aged Area Under Curve Aged, 80 and over Male Diagnostic Techniques, Ophthalmological Middle Aged Photography Deep Learning Physical Examination
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Fast and automatic assessment of fall risk by coupling machine learning algorithms with a depth camera to monitor simple balance tasks.

Journal of neuroengineering and rehabilitation Jun 11, 2019
BACKGROUND: Falls in the elderly constitute a major health issue associated to population ageing. Current clinical tests evaluating fall risk mostly consist in assessing balance abilities. The devices used for these tests can be expensive or inconven...
Exercise Therapy Machine Learning Female Aged Aged, 80 and over Humans Adult Male Accidental Falls Wearable Electronic Devices Postural Balance
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Discriminant analysis and machine learning approach for evaluating and improving the performance of immunohistochemical algorithms for COO classification of DLBCL.

Journal of translational medicine Jun 11, 2019
BACKGROUND: Diffuse large B-cell lymphoma (DLBCL) is classified into germinal center-like (GCB) and non-germinal center-like (non-GCB) cell-of-origin groups, entities driven by different oncogenic pathways with different clinical outcomes. DLBCL clas...
Female Aged Aged, 80 and over Adult Lymphoma, Large B-Cell, Diffuse Bayes Theorem Humans Discriminant Analysis Machine Learning B-Lymphocytes Algorithms Immunohistochemistry Male Germinal Center Middle Aged Gene Expression Profiling Decision Trees
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