AIMC Topic:
Predictive Value of Tests

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Machine learning-based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high-risk screening MRI.

Journal of magnetic resonance imaging : JMRI Jan 16, 2019
BACKGROUND: Preliminary work has demonstrated that background parenchymal enhancement (BPE) assessed by radiologists is predictive of future breast cancer in women undergoing high-risk screening MRI. Algorithmically assessed measures of BPE offer a m...
Humans Machine Learning Middle Aged Image Interpretation, Computer-Assisted Case-Control Studies Magnetic Resonance Imaging Predictive Value of Tests Breast Algorithms Female Aged Adult Breast Neoplasms
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Detection of Extraprostatic Extension of Cancer on Biparametric MRI Combining Texture Analysis and Machine Learning: Preliminary Results.

Academic radiology Jan 14, 2019
RATIONALE AND OBJECTIVES: Extraprostatic extension of disease (EPE) has a major role in risk stratification of prostate cancer patients. Currently, pretreatment local staging is performed with MRI, while the gold standard is represented by histopatho...
Humans Machine Learning Algorithms Prognosis Magnetic Resonance Imaging Neoplasm Staging Aged Neoplasm Invasiveness Male Prostate Predictive Value of Tests Middle Aged Prostatectomy Bayes Theorem Risk Assessment Prostatic Neoplasms
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A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.

NeuroImage Jan 14, 2019
Some forms of mild cognitive impairment (MCI) are the clinical precursors of Alzheimer's disease (AD), while other MCI types tend to remain stable over-time and do not progress to AD. To identify and choose effective and personalized strategies to pr...
Cognitive Dysfunction Magnetic Resonance Imaging Models, Neurological Predictive Value of Tests Alzheimer Disease Early Diagnosis Neuroimaging Apolipoprotein E4 Aged Aged, 80 and over Male Disease Progression Deep Learning Humans Female
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Automated analysis of cardiovascular magnetic resonance myocardial native T mapping images using fully convolutional neural networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 14, 2019
BACKGROUND: Cardiovascular magnetic resonance (CMR) myocardial native T mapping allows assessment of interstitial diffuse fibrosis. In this technique, the global and regional T are measured manually by drawing region of interest in motion-corrected T...
Workflow Humans Image Interpretation, Computer-Assisted Prospective Studies Observer Variation Aged Deep Learning Female Automation Adult Magnetic Resonance Imaging Reproducibility of Results Male Predictive Value of Tests Cardiovascular Diseases Myocardium Middle Aged
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Comparison of artificial neural network and logistic regression models for prediction of outcomes in trauma patients: A systematic review and meta-analysis.

Injury Jan 11, 2019
BACKGROUND: Currently, two models of artificial neural network (ANN) and logistic regression (LR) are known as models that extensively used in medical sciences. The aim of this study was to compare the ANN and LR models in prediction of Health-relate...
Injury Severity Score Wounds and Injuries Hospital Mortality Logistic Models Predictive Value of Tests Humans Area Under Curve Neural Networks, Computer Survival Analysis
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Role of interleukin-3 as a prognostic marker in septic patients.

Revista Brasileira de terapia intensiva Jan 10, 2019
OBJECTIVE: To evaluate the accuracy of IL-3 to predict the outcome of septic patients.
Female Shock, Septic Humans Reproducibility of Results Predictive Value of Tests Prospective Studies Male Aged Interleukin-3 Prognosis Middle Aged Adult Intensive Care Units Sepsis Sensitivity and Specificity Cohort Studies Hospital Mortality
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Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients.

PloS one Jan 9, 2019
BACKGROUND: Patient with acute coronary syndrome benefits from early revascularization. However, methods for the selection of patients who require urgent revascularization from a variety of patients visiting the emergency room with chest symptoms is ...
Chest Pain Acute Coronary Syndrome Datasets as Topic Myocardial Revascularization Decision Making, Computer-Assisted Neural Networks, Computer Prognosis Sensitivity and Specificity Diagnosis, Computer-Assisted Time Factors Electrocardiography Diagnosis, Differential Predictive Value of Tests Emergency Service, Hospital Patient Selection Humans
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A clinical, proteomics, and artificial intelligence-driven model to predict acute kidney injury in patients undergoing coronary angiography.

Clinical cardiology Jan 8, 2019
BACKGROUND: Standard measures of kidney function are only modestly useful for accurate prediction of risk for acute kidney injury (AKI).
Prospective Studies Biomarkers Acute Kidney Injury Female Aged Humans Artificial Intelligence Contrast Media Predictive Value of Tests Coronary Angiography Coronary Artery Disease Creatinine Male Risk Assessment Incidence ROC Curve Proteomics
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Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network.

World journal of surgical oncology Jan 8, 2019
BACKGROUND: In this study, images of 2450 benign thyroid nodules and 2557 malignant thyroid nodules were collected and labeled, and an automatic image recognition and diagnosis system was established by deep learning using the YOLOv2 neural network. ...
Humans Neural Networks, Computer Prognosis Retrospective Studies Female Thyroid Gland Ultrasonography Thyroid Nodule ROC Curve Diagnosis, Differential Aged Young Adult Adult Male Middle Aged Predictive Value of Tests Image Interpretation, Computer-Assisted
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Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 7, 2019
BACKGROUND: Phase contrast (PC) cardiovascular magnetic resonance (CMR) is widely employed for flow quantification, but analysis typically requires time consuming manual segmentation which can require human correction. Advances in machine learning ha...
Aorta Middle Aged Myocardial Perfusion Imaging Hemodynamics Magnetic Resonance Imaging, Cine United States Aortic Valve Retrospective Studies Predictive Value of Tests Female Humans Heart Diseases Reproducibility of Results Machine Learning Image Interpretation, Computer-Assisted Aged Prospective Studies Male Automation Proof of Concept Study Blood Flow Velocity
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