AIMC Topic: Predictive Value of Tests

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Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning.

Medical image analysis Jul 21, 2020
The COVID-19 pandemic is causing a major outbreak in more than 150 countries around the world, having a severe impact on the health and life of many people globally. One of the crucial step in fighting COVID-19 is the ability to detect the infected p...
Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections Humans Datasets as Topic Radiography, Thoracic Sensitivity and Specificity Neural Networks, Computer Betacoronavirus Deep Learning Pandemics Pneumonia, Viral Diagnosis, Differential COVID-19 Predictive Value of Tests SARS-CoV-2 Data Interpretation, Statistical
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Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning.

Gut Jul 20, 2020
OBJECTIVE: Complex phenotypes captured on histological slides represent the biological processes at play in individual cancers, but the link to underlying molecular classification has not been clarified or systematised. In colorectal cancer (CRC), hi...
Neoplasm Grading Biopsy RNA Datasets as Topic Gene Expression Profiling Deep Learning Consensus Gene Expression Regulation, Neoplastic Predictive Value of Tests Phenotype Humans Prognosis Colorectal Neoplasms Biomarkers, Tumor Disease Progression
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Feed-forward neural networks using cerebral MR spectroscopy and DTI might predict neurodevelopmental outcome in preterm neonates.

European radiology Jul 18, 2020
OBJECTIVES: We aimed to evaluate the ability of feed-forward neural networks (fNNs) to predict the neurodevelopmental outcome (NDO) of very preterm neonates (VPIs) at 12 months corrected age by using biomarkers of cerebral MR proton spectroscopy (H-M...
Humans Neural Networks, Computer Prospective Studies Brain Prognosis Female Infant, Newborn Infant, Premature Sensitivity and Specificity Developmental Disabilities Male Magnetic Resonance Spectroscopy Infant Diffusion Tensor Imaging Predictive Value of Tests Infant, Premature, Diseases Image Interpretation, Computer-Assisted
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Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization.

Chiropractic & manual therapies Jul 17, 2020
BACKGROUND: Chronic spinal pain conditions affect millions of US adults and carry a high healthcare cost burden, both direct and indirect. Conservative interventions for spinal pain conditions, including chiropractic care, have been associated with l...
Patient Acceptance of Health Care Algorithms Manipulation, Chiropractic Retrospective Studies Middle Aged Humans Female United States Adult Predictive Value of Tests Male Supervised Machine Learning Musculoskeletal Pain Veterans Health
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Fully automated quantification of left ventricular volumes and function in cardiac MRI: clinical evaluation of a deep learning-based algorithm.

The international journal of cardiovascular imaging Jul 16, 2020
To investigate the performance of a deep learning-based algorithm for fully automated quantification of left ventricular (LV) volumes and function in cardiac MRI. We retrospectively analysed MR examinations of 50 patients (74% men, median age 57 year...
Automation Magnetic Resonance Imaging, Cine Male Ventricular Function, Left Middle Aged Diagnosis, Computer-Assisted Deep Learning Adolescent Predictive Value of Tests Feasibility Studies Heart Ventricles Heart Diseases Image Interpretation, Computer-Assisted Reproducibility of Results Aged Humans Aged, 80 and over Retrospective Studies Young Adult Female Adult
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Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration.

European radiology Jul 14, 2020
OBJECTIVES: To evaluate the calibration of a deep learning (DL) model in a diagnostic cohort and to improve model's calibration through recalibration procedures.
Female Reproducibility of Results Aged Adult Male Middle Aged Humans Algorithms Retrospective Studies Predictive Value of Tests Area Under Curve Bayes Theorem Pattern Recognition, Automated Calibration Reference Standards Lung Diagnosis, Computer-Assisted Deep Learning ROC Curve Image Processing, Computer-Assisted Radiography, Thoracic
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Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRI.

The Laryngoscope Jul 13, 2020
OBJECTIVES: To investigate whether a radiomic MRI feature-based prediction model can differentiate oropharyngeal squamous cell carcinoma (SCC) according to the human papillomavirus (HPV) status.
Male Alphapapillomavirus Humans Middle Aged Squamous Cell Carcinoma of Head and Neck Machine Learning ROC Curve Magnetic Resonance Imaging Retrospective Studies Papillomavirus Infections Predictive Value of Tests Female Logistic Models Feasibility Studies Aged Oropharyngeal Neoplasms
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A Machine Learning Approach for Predicting Early Phase Postoperative Hypertension in Patients Undergoing Carotid Endarterectomy.

Annals of vascular surgery Jul 10, 2020
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the prediction of early phase postoperative hypertension (EPOH) requiring the administration of intravenous vasodilators after carotid endarterectomy (CEA).
Administration, Intravenous Vasodilator Agents Cerebrovascular Circulation Carotid Stenosis Endarterectomy, Carotid Adult Hypertension Humans Retrospective Studies Male Treatment Outcome Machine Learning Female Middle Aged Predictive Value of Tests Decision Support Techniques Risk Factors Blood Pressure Risk Assessment Databases, Factual Antihypertensive Agents Aged Time Factors Aged, 80 and over Cerebrovascular Disorders
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Deep learning analysis in coronary computed tomographic angiography imaging for the assessment of patients with coronary artery stenosis.

Computer methods and programs in biomedicine Jul 9, 2020
BACKGROUND AND OBJECTIVE: Recently, deep convolutional neural network has significantly improved image classification and image segmentation. If coronary artery disease (CAD) can be diagnosed through machine learning and deep learning, it will signif...
Predictive Value of Tests Humans Coronary Angiography Artificial Intelligence Coronary Artery Disease Retrospective Studies Coronary Vessels Tomography, X-Ray Computed Coronary Stenosis Deep Learning
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Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).

The international journal of cardiovascular imaging Jul 8, 2020
The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (...
Humans Artificial Intelligence Pregnancy Female Anatomic Landmarks Reproducibility of Results Adult Image Interpretation, Computer-Assisted Young Adult Ultrasonography, Prenatal Gestational Age Spatio-Temporal Analysis Double Outlet Right Ventricle Diagnosis, Computer-Assisted Fetal Heart Predictive Value of Tests Echocardiography, Four-Dimensional
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