AIMC Topic:
Predictive Value of Tests

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Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs.

Artificial intelligence in medicine Mar 27, 2017
This paper presents a novel, fully automatic approach based on a fully convolutional network (FCN) for segmenting liver tumors from CT images. Specifically, we designed a multi-channel fully convolutional network (MC-FCN) to segment liver tumors from...
Humans Artificial Intelligence Databases, Factual Retrospective Studies Tomography, X-Ray Computed Reproducibility of Results Liver Neoplasms Contrast Media Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Automation
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Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification.

The international journal of cardiovascular imaging Mar 20, 2017
The aim of this study was to analyze the whole temporal profiles of the segmental deformation curves of the left ventricle (LV) and describe their interrelations to obtain more detailed information concerning global LV function in order to be able to...
Principal Component Analysis Myocardial Infarction Image Interpretation, Computer-Assisted Observer Variation Automation Pattern Recognition, Automated Case-Control Studies Diagnosis, Computer-Assisted Time Factors Magnetic Resonance Imaging Predictive Value of Tests Echocardiography, Doppler, Color Myocardial Contraction Humans Machine Learning Reproducibility of Results Biomechanical Phenomena Ventricular Function, Left Severity of Illness Index
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Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.

Artificial intelligence in medicine Mar 18, 2017
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the pred...
Humans Machine Learning Radiotherapy Dosage Predictive Value of Tests Tomography, X-Ray Computed Bayes Theorem Radiation Injuries Risk Factors Radiographic Image Interpretation, Computer-Assisted Radiation Exposure Time Factors Parotid Gland Cranial Irradiation Head and Neck Neoplasms Early Diagnosis Xerostomia Fuzzy Logic
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Prediction of high on-treatment platelet reactivity in clopidogrel-treated patients with acute coronary syndromes.

International journal of cardiology Mar 18, 2017
BACKGROUND: About 40% of clopidogrel-treated patients display high platelet reactivity (HPR). Alternative treatments of HPR patients, identified by platelet function tests, failed to improve their clinical outcomes in large randomized clinical trials...
Middle Aged Gene Regulatory Networks Treatment Outcome Predictive Value of Tests Acute Coronary Syndrome Neural Networks, Computer Machine Learning Platelet Aggregation Inhibitors Humans Prospective Studies Clopidogrel Platelet Activation Female Ticlopidine Aged Male
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Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections.

Kidney international Mar 17, 2017
The immune system has evolved to sense invading pathogens, control infection, and restore tissue integrity. Despite symptomatic variability in patients, unequivocal evidence that an individual's immune system distinguishes between different organisms...
Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Humans Machine Learning Biomarkers Acute Disease Time Factors Male Point-of-Care Testing ROC Curve Point-of-Care Systems Nonlinear Dynamics Bacteria Gram-Positive Bacterial Infections Middle Aged Pattern Recognition, Automated Predictive Value of Tests Gram-Negative Bacterial Infections Host-Pathogen Interactions Case-Control Studies Area Under Curve Peptide Mapping Adolescent Peritonitis Peritoneal Dialysis
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Phenomapping for the Identification of Hypertensive Patients with the Myocardial Substrate for Heart Failure with Preserved Ejection Fraction.

Journal of cardiovascular translational research Mar 3, 2017
We sought to evaluate whether unbiased machine learning of dense phenotypic data ("phenomapping") could identify distinct hypertension subgroups that are associated with the myocardial substrate (i.e., abnormal cardiac mechanics) for heart failure wi...
Aged Adult Cross-Sectional Studies Biomechanical Phenomena Male Stroke Volume Machine Learning Phenotype Prognosis Female Risk Factors Predictive Value of Tests Blood Pressure Heart Failure Middle Aged Humans Pattern Recognition, Automated Risk Assessment Stress, Mechanical United States Echocardiography, Doppler Hypertension Cluster Analysis
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Improved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.

Journal of cardiovascular computed tomography Feb 23, 2017
BACKGROUND: The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary ...
Radiation Dosage Humans Signal-To-Noise Ratio Radiographic Image Interpretation, Computer-Assisted Algorithms Multidetector Computed Tomography Aged Female Coronary Artery Disease Male Reproducibility of Results Computed Tomography Angiography Knowledge Bases Middle Aged Radiation Exposure Germany Body Mass Index Coronary Vessels Predictive Value of Tests Coronary Angiography
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Artificial neural network-based model enhances risk stratification and reduces non-invasive cardiac stress imaging compared to Diamond-Forrester and Morise risk assessment models: A prospective study.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Feb 21, 2017
BACKGROUND: Coronary artery disease (CAD) accounts for more than half of all cardiovascular events. Stress testing remains the cornerstone for non-invasive assessment of patients with possible or known CAD. Clinical utilization reviews show that most...
Male Humans Neural Networks, Computer Middle Aged Prospective Studies Female Risk Assessment Aged Predictive Value of Tests Adult Exercise Test Coronary Artery Disease
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Machine Learning Principles Can Improve Hip Fracture Prediction.

Calcified tissue international Feb 14, 2017
Apply machine learning principles to predict hip fractures and estimate predictor importance in Dual-energy X-ray absorptiometry (DXA)-scanned men and women. Dual-energy X-ray absorptiometry data from two Danish regions between 1996 and 2006 were com...
Predictive Value of Tests Hip Fractures Absorptiometry, Photon Osteoporotic Fractures Aged Male Middle Aged Risk Assessment Cohort Studies Humans Machine Learning Bone Density Female Risk Factors
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Predicting primary progressive aphasias with support vector machine approaches in structural MRI data.

NeuroImage. Clinical Feb 6, 2017
Primary progressive aphasia (PPA) encompasses the three subtypes nonfluent/agrammatic variant PPA, semantic variant PPA, and the logopenic variant PPA, which are characterized by distinct patterns of language difficulties and regional brain atrophy. ...
Aphasia, Primary Progressive Middle Aged Humans Image Processing, Computer-Assisted Brain Support Vector Machine Female Magnetic Resonance Imaging Aged Predictive Value of Tests Male
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