AIMC Topic: Aged, 80 and over

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Machine learning performance in a microbial molecular autopsy context: A cross-sectional postmortem human population study.

PloS one Apr 15, 2019
BACKGROUND: The postmortem microbiome can provide valuable information to a death investigation and to the human health of the once living. Microbiome sequencing produces, in general, large multi-dimensional datasets that can be difficult to analyze ...
Adolescent Time Factors Microbiota DNA, Bacterial Autopsy High-Throughput Nucleotide Sequencing RNA, Ribosomal, 16S Young Adult Postmortem Changes Sequence Analysis, DNA Adult Humans Datasets as Topic Cross-Sectional Studies DNA, Archaeal Machine Learning Male Female Middle Aged Aged Aged, 80 and over
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Simulating Dual-Energy X-Ray Absorptiometry in CT Using Deep-Learning Segmentation Cascade.

Journal of the American College of Radiology : JACR Apr 12, 2019
PURPOSE: Osteoporosis is an underdiagnosed condition despite effective screening modalities. Dual-energy x-ray absorptiometry (DEXA) screening, although recommended in clinical guidelines, remains markedly underutilized. In contrast to DEXA, CT utili...
Deep Learning Lumbar Vertebrae Absorptiometry, Photon Female Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Humans Computer Simulation Bone Density Osteoporosis Tomography, X-Ray Computed
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Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT.

European radiology Apr 11, 2019
OBJECTIVES: Deep learning reconstruction (DLR) is a new reconstruction method; it introduces deep convolutional neural networks into the reconstruction flow. This study was conducted in order to examine the clinical applicability of abdominal ultra-h...
Female Reproducibility of Results Aged Aged, 80 and over Adult Male Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Middle Aged Deep Learning Liver Neoplasms Abdomen Radiographic Image Interpretation, Computer-Assisted
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Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 11, 2019
PURPOSE: We aimed to develop an ovarian cancer-specific predictive framework for clinical stage, histotype, residual tumor burden, and prognosis using machine learning methods based on multiple biomarkers.
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Prognosis Female Aged Neoplasm Grading Carcinoma, Ovarian Epithelial Aged, 80 and over Preoperative Care Middle Aged Young Adult ROC Curve Adult Support Vector Machine Survival Rate Ovarian Neoplasms Biomarkers, Tumor Bayes Theorem Neoplasm Staging
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Hand Extension Robot Orthosis (HERO) Glove: Development and Testing With Stroke Survivors With Severe Hand Impairment.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 11, 2019
The hand extension robot orthosis (HERO) glove was iteratively designed with occupational therapists and stroke survivors to enable stroke survivors with severe hand impairment to grasp and stabilize everyday objects, while being portable, lightweigh...
Adult Male Middle Aged Adolescent Wearable Electronic Devices Treatment Outcome Humans Female Aged Aged, 80 and over Young Adult Healthy Volunteers Psychomotor Performance Range of Motion, Articular Stroke Rehabilitation Hand Strength Self-Help Devices Robotics Movement Disorders Hand Stroke Prosthesis Design
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Application of Artificial Neural Networks to Identify Alzheimer's Disease Using Cerebral Perfusion SPECT Data.

International journal of environmental research and public health Apr 11, 2019
The aim of this study was to demonstrate the usefulness of artificial neural networks in Alzheimer disease diagnosis (AD) using data of brain single photon emission computed tomography (SPECT). The results were compared with discriminant analysis. Th...
Case-Control Studies ROC Curve Discriminant Analysis Alzheimer Disease Tomography, Emission-Computed, Single-Photon Humans Neural Networks, Computer Female Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged
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Feasible Classified Models for Parkinson Disease from Tc-TRODAT-1 SPECT Imaging.

Sensors (Basel, Switzerland) Apr 11, 2019
The neuroimaging techniques such as dopaminergic imaging using Single Photon Emission Computed Tomography (SPECT) with Tc-TRODAT-1 have been employed to detect the stages of Parkinson's disease (PD). In this retrospective study, a total of 202 Tc-TRO...
Organotechnetium Compounds Adult Male Middle Aged Support Vector Machine Parkinson Disease Dopamine Corpus Striatum Tomography, Emission-Computed, Single-Photon Tropanes Dopaminergic Neurons Dopamine Plasma Membrane Transport Proteins Humans Retrospective Studies Female Aged Aged, 80 and over
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Comparison and development of machine learning tools in the prediction of chronic kidney disease progression.

Journal of translational medicine Apr 11, 2019
BACKGROUND: Urinary protein quantification is critical for assessing the severity of chronic kidney disease (CKD). However, the current procedure for determining the severity of CKD is completed through evaluating 24-h urinary protein, which is incon...
Humans Machine Learning Female Reproducibility of Results Aged Aged, 80 and over Adolescent ROC Curve Renal Insufficiency, Chronic Area Under Curve Internet Young Adult Adult Male Middle Aged Disease Progression
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Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests.

The European respiratory journal Apr 11, 2019
The interpretation of pulmonary function tests (PFTs) to diagnose respiratory diseases is built on expert opinion that relies on the recognition of patterns and the clinical context for detection of specific diseases. In this study, we aimed to explo...
Humans Aged, 80 and over Adult Male Middle Aged Respiratory Function Tests Pulmonary Medicine Artificial Intelligence Software Prospective Studies Female Aged
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Generating automated kidney transplant biopsy reports combining molecular measurements with ensembles of machine learning classifiers.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons Apr 10, 2019
We previously reported a system for assessing rejection in kidney transplant biopsies using microarray-based gene expression data, the Molecular Microscope Diagnostic System (MMDx). The present study was designed to optimize the accuracy and stabilit...
Follow-Up Studies Graft Rejection Kidney Failure, Chronic Automation Machine Learning Isoantibodies Algorithms Kidney Transplantation Middle Aged Prognosis Gene Expression Profiling Female Adolescent Aged Cohort Studies Aged, 80 and over Child Young Adult Adult T-Lymphocytes Male Humans
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