AIMC Topic:
Predictive Value of Tests

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Pathologist-level classification of histopathological melanoma images with deep neural networks.

European journal of cancer (Oxford, England : 1990) May 23, 2019
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high discordance between individual pathologists. For melanoma, the literature reports 25-26% ...
Skin Neoplasms Nevus Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Biopsy Humans Predictive Value of Tests Pathologists Melanoma Microscopy Image Interpretation, Computer-Assisted Observer Variation
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Prediction of antiepileptic drug treatment outcomes of patients with newly diagnosed epilepsy by machine learning.

Epilepsy & behavior : E&B May 20, 2019
OBJECTIVE: The objective of this study was to build a supervised machine learning-based classifier, which can accurately predict the outcomes of antiepileptic drug (AED) treatment of patients with newly diagnosed epilepsy.
Epilepsy Anticonvulsants Treatment Outcome Follow-Up Studies Magnetic Resonance Imaging Predictive Value of Tests Electroencephalography Young Adult Adult Male Middle Aged Adolescent Humans Machine Learning Algorithms Prospective Studies Female
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Ventricular geometry-regularized QRSd predicts cardiac resynchronization therapy response: machine learning from crosstalk between electrocardiography and echocardiography.

The international journal of cardiovascular imaging May 18, 2019
Up to one-third of patients selected by current guidelines do not respond to cardiac resynchronization therapy (CRT), the aim of this study was to find out novel analytical approaches to improve pre-implantation CRT response prediction. Among 31 pre-...
Ventricular Remodeling Image Interpretation, Computer-Assisted Ventricular Function, Left Echocardiography Middle Aged Electrocardiography Treatment Outcome Patient Selection Clinical Decision-Making Heart Failure Female Humans Cardiac Resynchronization Therapy Aged Support Vector Machine Aged, 80 and over Predictive Value of Tests Male Signal Processing, Computer-Assisted
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Cancer taxonomy: pathology beyond pathology.

European journal of cancer (Oxford, England : 1990) May 17, 2019
The way we categorise and classify cancer types dictates not only the way we diagnose and treat patients but also many of our decisions on biomarker and drug development. In addition, cancer taxonomy proves the ground truth for future discoveries in ...
Humans Artificial Intelligence Reproducibility of Results Neoplasms Diagnosis, Computer-Assisted Predictive Value of Tests Biopsy Pathologists Microscopy Image Interpretation, Computer-Assisted Observer Variation Classification
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Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies.

Virchows Archiv : an international journal of pathology May 16, 2019
Histopathologic grading of prostate cancer using Gleason patterns (GPs) is subject to a large inter-observer variability, which may result in suboptimal treatment of patients. With the introduction of digitization and whole-slide images of prostate b...
Pattern Recognition, Automated Humans Automation, Laboratory Reproducibility of Results Male Deep Learning Biopsy Predictive Value of Tests Image Interpretation, Computer-Assisted Prostatic Neoplasms Observer Variation Neoplasm Grading
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A Deep Learning Approach for Assessment of Regional Wall Motion Abnormality From Echocardiographic Images.

JACC. Cardiovascular imaging May 15, 2019
OBJECTIVES: This study investigated whether a deep convolutional neural network (DCNN) could provide improved detection of regional wall motion abnormalities (RWMAs) and differentiate among groups of coronary infarction territories from conventional ...
Echocardiography Middle Aged Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests Myocardial Infarction Image Interpretation, Computer-Assisted Observer Variation Reproducibility of Results Aged Aged, 80 and over Male Ventricular Function, Left Humans Retrospective Studies Female
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Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa.

Magnetic resonance imaging May 15, 2019
PURPOSE: To evaluate whether a machine learning (ML) analysis employing MRI-derived texture analysis (TA) features could be useful in assessing the presence of placenta accreta spectrum (PAS) in patients with placenta previa (PP). The hypothesis is t...
Machine Learning Algorithms Retrospective Studies Pregnancy Female Reproducibility of Results Humans Placenta Image Interpretation, Computer-Assisted Prenatal Diagnosis Placenta Accreta Placenta Previa Adult Sensitivity and Specificity Magnetic Resonance Imaging Predictive Value of Tests Bayes Theorem
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Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features.

European radiology May 15, 2019
OBJECTIVES: To develop a proof-of-concept "interpretable" deep learning prototype that justifies aspects of its predictions from a pre-trained hepatic lesion classifier.
Retrospective Studies Female Aged Adult Male Humans Neural Networks, Computer Machine Learning Predictive Value of Tests Algorithms Image Interpretation, Computer-Assisted Middle Aged Bile Duct Neoplasms Proof of Concept Study Deep Learning Cholangiocarcinoma Liver Neoplasms Bile Ducts, Intrahepatic Carcinoma, Hepatocellular Magnetic Resonance Imaging
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A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies.

Brachytherapy May 15, 2019
PURPOSE: External beam radiotherapy combined with interstitial brachytherapy is commonly used to treat patients with bulky, advanced gynecologic cancer. However, the high radiation dose needed to control the tumor may result in fistula development. T...
Middle Aged Models, Theoretical Support Vector Machine Predictive Value of Tests Area Under Curve Female Risk Factors Aged Aged, 80 and over Adult Genital Neoplasms, Female Brachytherapy Vesicovaginal Fistula Rectovaginal Fistula Humans Retrospective Studies
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Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning.

Atherosclerosis May 4, 2019
BACKGROUND AND AIMS: Although grayscale intravascular ultrasound (IVUS) is commonly used for assessing coronary lesion morphology and optimizing stent implantation, detection of vulnerable plaques by IVUS remains challenging. We aimed to develop mach...
Rupture, Spontaneous Plaque, Atherosclerotic Coronary Stenosis Risk Factors Humans Disease Progression Ultrasonography, Interventional Neural Networks, Computer Aged Diagnosis, Computer-Assisted Machine Learning Coronary Artery Disease Male Predictive Value of Tests Female Fibrosis Middle Aged Tomography, Optical Coherence Reproducibility of Results Image Interpretation, Computer-Assisted Risk Assessment Bayes Theorem Coronary Vessels
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