AIMC Topic: Aged, 80 and over

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Differentiation of distal ureteral stones and pelvic phleboliths using a convolutional neural network.

Urolithiasis Feb 27, 2020
The objectives were to develop and validate a Convolutional Neural Network (CNN) using local features for differentiating distal ureteral stones from pelvic phleboliths, compare the CNN method with a semi-quantitative method and with radiologists' as...
ROC Curve Diagnosis, Differential Pelvis Datasets as Topic Vascular Calcification Ureter Veins Ureteral Calculi Renal Colic Aged, 80 and over Young Adult Adult Male Middle Aged Adolescent Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female Aged
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Calculating the target exposure index using a deep convolutional neural network and a rule base.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 27, 2020
PURPOSE: The objective of this study is to determine the quality of chest X-ray images using a deep convolutional neural network (DCNN) and a rule base without performing any visual assessment. A method is proposed for determining the minimum diagnos...
Humans Neural Networks, Computer Tomography, X-Ray Computed Reproducibility of Results Lung Deep Learning Image Processing, Computer-Assisted Spine Radiography, Thoracic Thorax Mediastinum Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Middle Aged
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Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology Feb 25, 2020
BACKGROUND: Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel ...
Middle Aged Risk Assessment Adolescent Incidence Genetic Predisposition to Disease Urinary Bladder Neoplasms Risk Factors Aged Aged, 80 and over Young Adult Adult Male Data Mining Data Collection Genetic Heterogeneity Utah Pedigree Neoplastic Syndromes, Hereditary Humans Machine Learning Databases, Factual Female
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Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization: The LINK-HF Multicenter Study.

Circulation. Heart failure Feb 25, 2020
BACKGROUND: Implantable cardiac sensors have shown promise in reducing rehospitalization for heart failure (HF), but the efficacy of noninvasive approaches has not been determined. The objective of this study was to determine the accuracy of noninvas...
Wearable Electronic Devices Aged Humans Heart Failure Aged, 80 and over Machine Learning Time Factors Patient Readmission Male Prognosis Smartphone Cloud Computing Middle Aged United States Female Telemetry Risk Assessment Predictive Value of Tests Reproducibility of Results Diagnosis, Computer-Assisted Equipment Design Risk Factors
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Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model.

Scientific reports Feb 24, 2020
We developed a hybrid deep learning model (HDLM) algorithm that quantitatively predicts macular ganglion cell-inner plexiform layer (mGCIPL) thickness from red-free retinal nerve fiber layer photographs (RNFLPs). A total of 789 pairs of RNFLPs and sp...
Humans Glaucoma Algorithms Retrospective Studies Female Aged Aged, 80 and over Optic Nerve Tomography, Optical Coherence Fundus Oculi Translational Research, Biomedical Retinal Ganglion Cells Diagnostic Techniques, Ophthalmological Refractometry Case-Control Studies Young Adult Diagnosis, Computer-Assisted Adult Deep Learning Sensitivity and Specificity ROC Curve Intraocular Pressure Support Vector Machine Male Regression Analysis Middle Aged
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A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment.

BMC medical informatics and decision making Feb 21, 2020
BACKGROUND: The detection of Alzheimer's Disease (AD) in its formative stages, especially in Mild Cognitive Impairments (MCI), has the potential of helping the clinicians in understanding the condition. The literature review shows that the classifica...
Support Vector Machine Humans Machine Learning Magnetic Resonance Imaging Algorithms Alzheimer Disease Decision Support Techniques Wavelet Analysis Female Aged Aged, 80 and over Sensitivity and Specificity Male Cognitive Dysfunction
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Machine learning helps identifying volume-confounding effects in radiomics.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 20, 2020
Highlighting the risk of biases in radiomics-based models will help improve their quality and increase usage as decision support systems in the clinic. In this study we use machine learning-based methods to identify the presence of volume-confounding...
Aged Aged, 80 and over Adult Male Radiometry Lung Neoplasms Middle Aged Algorithms Humans Laryngeal Neoplasms Squamous Cell Carcinoma of Head and Neck Databases, Factual Decision Support Systems, Clinical Machine Learning Oropharyngeal Neoplasms Carcinoma, Non-Small-Cell Lung Retrospective Studies Software Cluster Analysis Tomography, X-Ray Computed Regression Analysis Female Principal Component Analysis Carcinoma, Squamous Cell
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A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators.

Scientific reports Feb 20, 2020
Patients with chronic obstructive pulmonary disease (COPD) repeat acute exacerbations (AE). Global Initiative for Chronic Obstructive Lung Disease (GOLD) is only available for patients in stable phase. Currently, there is a lack of assessment and pre...
Algorithms Prognosis Female Reproducibility of Results Hospitalization Aged Aged, 80 and over Adult Pulmonary Disease, Chronic Obstructive Male Middle Aged Disease Progression Comorbidity Humans Risk Machine Learning ROC Curve Decision Support Systems, Clinical Inflammation Models, Statistical Decision Trees False Positive Reactions
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Automatic opportunistic osteoporosis screening using low-dose chest computed tomography scans obtained for lung cancer screening.

European radiology Feb 19, 2020
OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In this study, a deep learning-based system was developed to automatically measure bone mineral density (BMD) for opportunistic osteoporosis screening usin...
Early Detection of Cancer Spine Bone Diseases, Metabolic Aged, 80 and over Humans Male Bone Density Middle Aged Osteoporosis Deep Learning Tomography, X-Ray Computed Lung Neoplasms Female Mass Screening Aged
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Measuring the impact of age, gender and dementia on communication-robot interventions in residential care homes.

Geriatrics & gerontology international Feb 19, 2020
AIM: The primary aim of this study was to examine the impact of age, gender and the stage of dementia on the results of an assistive technology intervention that make use of communication robots (com-robots). The intervention was designed to improve ...
Communication Humans Age Factors Male Delivery of Health Care Robotics Quality of Life Female Japan Disease Progression Aged Sex Factors Dementia Aged, 80 and over Nursing Homes Cohort Studies Self-Help Devices Homes for the Aged
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