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COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System.

Radiology May 8, 2020
Background Chest radiography may play an important role in triage for coronavirus disease 2019 (COVID-19), particularly in low-resource settings. Purpose To evaluate the performance of an artificial intelligence (AI) system for detection of COVID-19 ...
Humans Artificial Intelligence Pandemics COVID-19 Databases, Factual Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections Radiography, Thoracic Betacoronavirus Aged, 80 and over Pneumonia, Viral Tomography, X-Ray Computed Male Female Middle Aged SARS-CoV-2 ROC Curve Aged
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MRI radiomics-based machine-learning classification of bone chondrosarcoma.

European journal of radiology May 7, 2020
PURPOSE: To evaluate the diagnostic performance of machine learning for discrimination between low-grade and high-grade cartilaginous bone tumors based on radiomic parameters extracted from unenhanced magnetic resonance imaging (MRI).
Machine Learning Chondrosarcoma Retrospective Studies Female Reproducibility of Results Adult Magnetic Resonance Imaging Humans Male Neoplasm Grading Bone Neoplasms Middle Aged Image Interpretation, Computer-Assisted ROC Curve Bone and Bones
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A Machine Learning Approach to Management of Heart Failure Populations.

JACC. Heart failure May 6, 2020
BACKGROUND: Heart failure is a prevalent, costly disease for which new value-based payment models demand optimized population management strategies.
Humans ROC Curve United States Population Surveillance Aged, 80 and over Machine Learning Heart Failure Morbidity Retrospective Studies Male Disease Management Female Middle Aged Aged Risk Assessment
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Automatic snoring sounds detection from sleep sounds based on deep learning.

Physical and engineering sciences in medicine May 6, 2020
Snoring is a typical characteristic of obstructive sleep apnea hypopnea syndrome (OSAHS) and can be used for its diagnosis. The purpose of this paper is to develop an automatic snoring detection algorithm for classifying snore and non-snore sound seg...
Snoring Deep Learning Humans ROC Curve Neural Networks, Computer Sleep Female Algorithms Automation Adult Male Middle Aged
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Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data.

Sensors (Basel, Switzerland) May 6, 2020
Significant attention has been paid to the accurate detection of diabetes. It is a big challenge for the research community to develop a diagnosis system to detect diabetes in a successful way in the e-healthcare environment. Machine learning techniq...
Humans Machine Learning Algorithms Delivery of Health Care ROC Curve Diabetes Mellitus Telemedicine
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Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study.

European journal of radiology May 5, 2020
PURPOSE: To develop a deep learning-based method to assist radiologists to fast and accurately identify patients with COVID-19 by CT images.
Male Middle Aged Deep Learning ROC Curve Betacoronavirus Pneumonia, Viral Mass Screening Retrospective Studies Coronavirus Infections Tomography, X-Ray Computed Female Humans SARS-CoV-2 Pandemics COVID-19
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Applying machine learning methods to develop a successful aging maintenance prediction model based on physical fitness tests.

Geriatrics & gerontology international May 1, 2020
AIM: The purpose of this study was to develop a machine learning prediction model for successful aging (SA) based on physical fitness tests.
Middle Aged Exercise China Surveys and Questionnaires Aged, 80 and over Sensitivity and Specificity Male Aging Predictive Value of Tests Geriatric Assessment Machine Learning Physical Fitness Female Independent Living Humans ROC Curve Aged Healthy Aging Logistic Models Follow-Up Studies Decision Trees
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IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms.

Sensors (Basel, Switzerland) Apr 30, 2020
The clinical symptoms of prediabetes are mild and easy to overlook, but prediabetes may develop into diabetes if early intervention is not performed. In this study, a deep learning model-referred to as IGRNet-is developed to effectively detect and di...
Electrocardiography Humans Prediabetic State Neural Networks, Computer Deep Learning ROC Curve
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Using Deep Learning to Automate Goldmann Applanation Tonometry Readings.

Ophthalmology Apr 25, 2020
PURPOSE: To develop an objective and automated method for measuring intraocular pressure using deep learning and fixed-force Goldmann applanation tonometry (GAT) techniques.
Prospective Studies Female Deep Learning Reproducibility of Results Aged ROC Curve Tonometry, Ocular Cross-Sectional Studies Intraocular Pressure Male Middle Aged Humans Glaucoma
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Prediction of Intracranial Aneurysm Risk using Machine Learning.

Scientific reports Apr 24, 2020
An efficient method for identifying subjects at high risk of an intracranial aneurysm (IA) is warranted to provide adequate radiological screening guidelines and effectively allocate medical resources. We developed a model for pre-diagnosis IA predic...
Intracranial Aneurysm Area Under Curve Models, Biological Probability Databases as Topic Humans Machine Learning Female Middle Aged Incidence ROC Curve Risk Factors Male
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