AIMC Topic: Middle Aged

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Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net.

Academic radiology Jan 31, 2019
RATIONALE AND OBJECTIVES: Breast segmentation using the U-net architecture was implemented and tested in independent validation datasets to quantify fibroglandular tissue volume in breast MRI.
Humans Neural Networks, Computer Algorithms Female Young Adult Adult Breast Neoplasms Breast Breast Density Middle Aged Disease Progression Deep Learning Magnetic Resonance Imaging
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Potential EEG biomarkers of sedation doses in intensive care patients unveiled by using a machine learning approach.

Journal of neural engineering Jan 31, 2019
OBJECTIVE: Sedation of neurocritically ill patients is one of the most challenging situation in ICUs. Quantitative knowledge on the sedation effect on brain activity in that complex scenario could help to uncover new markers for sedation assessment. ...
Female Adult Male Middle Aged Cohort Studies Humans Machine Learning Prospective Studies Hypnotics and Sedatives Infusions, Intravenous Electroencephalography Critical Care Midazolam Intraoperative Neurophysiological Monitoring Propofol Brain Injuries Dose-Response Relationship, Drug
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Argentinian multicenter study on urinary tract infections due to Streptococcus agalactiae in adult patients.

Journal of infection in developing countries Jan 31, 2019
INTRODUCTION: Streptococcus agalactiae (group B streptococcus, GBS) is a recognized urinary pathogen both in males and pregnant or non-pregnant women. Data regarding GBS serotypes recovered from urinary tract infections (UTIs) are scarce. The aim of ...
Middle Aged Microbial Sensitivity Tests Adolescent Urinary Tract Infections Aged Humans Aged, 80 and over Streptococcal Infections Drug Resistance, Bacterial Young Adult Streptococcus agalactiae Prospective Studies Adult Argentina Female Male Serotyping
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Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages.

Scientific reports Jan 31, 2019
High-grade gliomas are the most aggressive malignant brain tumors. Accurate pre-operative prognosis for this cohort can lead to better treatment planning. Conventional survival prediction based on clinical information is subjective and could be inacc...
Middle Aged Deep Learning Adolescent Glioma Neoplasm Grading Adult Survival Rate Brain Neoplasms Male Disease-Free Survival Diffusion Tensor Imaging Humans Algorithms Databases, Factual Female Aged
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Correlating exhaled aerosol images to small airway obstructive diseases: A study with dynamic mode decomposition and machine learning.

PloS one Jan 31, 2019
BACKGROUND: Exhaled aerosols from lungs have unique patterns, and their variation can be correlated to the underlying lung structure and associated abnormities. However, it is challenging to characterize such aerosol patterns and differentiate their ...
Aerosols Humans Breath Tests Machine Learning Exhalation Algorithms Lung Diseases, Obstructive Prognosis Male Tomography, X-Ray Computed Middle Aged Image Processing, Computer-Assisted Support Vector Machine Principal Component Analysis
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Natural Language Processing-Identified Problem Opioid Use and Its Associated Health Care Costs.

Journal of pain & palliative care pharmacotherapy Jan 31, 2019
Use of prescription opioids and problems of abuse and addiction have increased over the past decade. Claims-based studies have documented substantial economic burden of opioid abuse. This study utilized electronic health record (EHR) data to identify...
Young Adult Adult Male Humans Analgesics, Opioid Middle Aged Adolescent Retrospective Studies Medicare Case-Control Studies United States Electronic Health Records Opioid-Related Disorders Female Longitudinal Studies Health Care Costs Aged Follow-Up Studies Cost of Illness Natural Language Processing
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Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.

Academic radiology Jan 30, 2019
RATIONALE AND OBJECTIVES: To use machine learning-based magnetic resonance imaging radiomics to predict metachronous liver metastases (MLM) in patients with rectal cancer.
Neoplasm Metastasis Female Male Middle Aged Humans ROC Curve Adenocarcinoma Algorithms Liver Neoplasms Support Vector Machine Retrospective Studies Magnetic Resonance Imaging Rectum Rectal Neoplasms
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Water-fat separation and parameter mapping in cardiac MRI via deep learning with a convolutional neural network.

Journal of magnetic resonance imaging : JMRI Jan 30, 2019
BACKGROUND: Water-fat separation is a postprocessing technique most commonly applied to multiple-gradient-echo magnetic resonance (MR) images to identify fat, provide images with fat suppression, and to measure fat tissue concentration. Recently, Num...
Humans Neural Networks, Computer Retrospective Studies Female Male Adipose Tissue Heart Middle Aged Feasibility Studies Severity of Illness Index Myocardial Infarction Deep Learning Image Interpretation, Computer-Assisted Water Magnetic Resonance Imaging
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Machine learning for prediction of sustained opioid prescription after anterior cervical discectomy and fusion.

The spine journal : official journal of the North American Spine Society Jan 30, 2019
BACKGROUND CONTEXT: The severity of the opioid epidemic has increased scrutiny of opioid prescribing practices. Spine surgery is a high-risk episode for sustained postoperative opioid prescription.
Spinal Fusion Analgesics, Opioid Practice Patterns, Physicians' Drug Prescriptions Diskectomy Adult Male Middle Aged Pain, Postoperative Cervical Vertebrae Humans Machine Learning Female
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Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers.

Disease markers Jan 30, 2019
INTRODUCTION: Hematological indices including red cell distribution width and neutrophil to lymphocyte ratio are proven to be associated with outcomes of acute coronary syndrome. The usefulness of machine learning techniques in predicting mortality a...
Acute Coronary Syndrome Lymphocyte Count Erythrocyte Count Aged Survival Rate Male Middle Aged Hospital Mortality Humans Machine Learning Biomarkers Female
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