Humans

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Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT.

Annals of nuclear medicine Oct 9, 2018
OBJECTIVES: The patient-based diagnosis with an artificial neural network (ANN) has shown potential utility for the detection of coronary artery disease; however, the region-based accuracy of the detected regions has not been fully evaluated. The aim...
(2)
Aged Male Middle Aged ROC Curve Image Processing, Computer-Assisted Humans Neural Networks, Computer Myocardial Perfusion Imaging Female Technetium Tc 99m Sestamibi Area Under Curve Tomography, Emission-Computed, Single-Photon
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Using a Natural Language Processing and Machine Learning Algorithm Program to Analyze Inter-Radiologist Report Style Variation and Compare Variation Between Radiologists When Using Highly Structured Versus More Free Text Reporting.

Current problems in diagnostic radiology Oct 9, 2018
PURPOSE: To use a natural language processing and machine learning algorithm to evaluate inter-radiologist report variation and compare variation between radiologists using highly structured versus more free text reporting.
(1)
Humans Research Report Machine Learning Radiology Information Systems Software Natural Language Processing
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The importance of recurrent top-down synaptic connections for the anticipation of dynamic emotions.

Neural networks : the official journal of the International Neural Network Society Oct 9, 2018
Different studies have shown the efficiency of a feed-forward neural network in categorizing basic emotional facial expressions. However, recent findings in psychology and cognitive neuroscience suggest that visual recognition is not a pure bottom-up...
Facial Expression Anticipation, Psychological Humans Neural Networks, Computer Female Adult Emotions Male Brain Mapping Magnetic Resonance Imaging Synapses
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Deep Learning-based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study.

Radiology Oct 9, 2018
Purpose To develop a deep learning-based method for fully automated quantification of left ventricular (LV) function from short-axis cine MR images and to evaluate its performance in a multivendor and multicenter setting. Materials and Methods This r...
Heart Ventricles Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Retrospective Studies Deep Learning Ventricular Function Humans
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Detection of Traumatic Pediatric Elbow Joint Effusion Using a Deep Convolutional Neural Network.

AJR. American journal of roentgenology Oct 9, 2018
OBJECTIVE: The purpose of this study is to determine whether a deep convolutional neural network (DCNN) trained on a dataset of limited size can accurately diagnose traumatic pediatric elbow effusion on lateral radiographs.
Radiography Elbow Joint Observer Variation Elbow Injuries Adolescent Child, Preschool Child Infant Diagnosis, Computer-Assisted Neural Networks, Computer Retrospective Studies Female Young Adult Humans Sensitivity and Specificity Male
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HCF-CRS: A Hybrid Content based Fuzzy Conformal Recommender System for providing recommendations with confidence.

PloS one Oct 9, 2018
A Recommender System (RS) is an intelligent system that assists users in finding the items of their interest (e.g. books, movies, music) by preventing them to go through huge piles of data available online. In an effort to overcome the data sparsity ...
Motion Pictures Algorithms Humans Fuzzy Logic Artificial Intelligence Internet
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Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists.

Archives of pathology & laboratory medicine Oct 8, 2018
CONTEXT.—: Nodal metastasis of a primary tumor influences therapy decisions for a variety of cancers. Histologic identification of tumor cells in lymph nodes can be laborious and error-prone, especially for small tumor foci.
Humans Female Breast Neoplasms Image Interpretation, Computer-Assisted Sentinel Lymph Node Biopsy Pathology, Clinical Deep Learning Lymphatic Metastasis Pathologists
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Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks.

IEEE transactions on bio-medical engineering Oct 8, 2018
Missing data is a ubiquitous problem. It is especially challenging in medical settings because many streams of measurements are collected at different-and often irregular-times. Accurate estimation of the missing measurements is critical for many rea...
Medical Informatics Vital Signs Humans Neural Networks, Computer Algorithms Databases, Factual
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Primal world beliefs.

Psychological assessment Oct 8, 2018
Beck's insight-that beliefs about one's self, future, and environment shape behavior-transformed depression treatment. Yet environment beliefs remain relatively understudied. We introduce a set of environment beliefs- or -that concern the world's ove...
Natural Language Processing Data Mining Culture Humans Psychometrics Attitude
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ASO Author Reflections: The Evolution of Minimally Invasive Liver Surgery and the Future with Robotics.

Annals of surgical oncology Oct 8, 2018
Gastrointestinal Neoplasms Hepatectomy Humans Liver Robotics Minimally Invasive Surgical Procedures
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