AIMC Topic: Predictive Value of Tests

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Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA.

Atherosclerosis Dec 23, 2019
BACKGROUND AND AIMS: Artificial intelligence (AI) is increasing its role in diagnosis of patients with suspicious coronary artery disease. The aim of this manuscript is to develop a deep convolutional neural network (CNN) to classify coronary compute...
Predictive Value of Tests Retrospective Studies Coronary Angiography Male Female Coronary Artery Disease Middle Aged Aged Computed Tomography Angiography Severity of Illness Index Deep Learning Humans Algorithms
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Strengths and Opportunities of Network Medicine in Cardiovascular Diseases.

Circulation journal : official journal of the Japanese Circulation Society Dec 21, 2019
Network medicine can advance current medical practice by arising as response to the limitations of a reductionist approach focusing on cardiovascular (CV) diseases as a direct consequence of a single defect. This molecular-bioinformatic approach inte...
Systems Analysis Medical Informatics Diagnostic Techniques, Cardiovascular Clinical Decision-Making Humans Cardiology Risk Factors Artificial Intelligence Delivery of Health Care, Integrated Precision Medicine Prognosis Animals Cardiovascular Diseases Predictive Value of Tests
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Prediction of lower-grade glioma molecular subtypes using deep learning.

Journal of neuro-oncology Dec 21, 2019
INTRODUCTION: It is useful to know the molecular subtype of lower-grade gliomas (LGG) when deciding on a treatment strategy. This study aims to diagnose this preoperatively.
Young Adult Adult Brain Neoplasms Male Glioma Follow-Up Studies Predictive Value of Tests Middle Aged Deep Learning Humans Female Aged Neoplasm Grading Neuroimaging
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Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms.

JACC. Cardiovascular imaging Dec 18, 2019
Proof of Concept Study Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Image Interpretation, Computer-Assisted Aged, 80 and over Adult Severity of Illness Index Echocardiography Male Databases, Factual Hemodynamics Middle Aged Prognosis Diagnosis, Computer-Assisted Ventricular Function, Left Humans Female Artificial Intelligence Aged
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Calibration: the Achilles heel of predictive analytics.

BMC medicine Dec 16, 2019
BACKGROUND: The assessment of calibration performance of risk prediction models based on regression or more flexible machine learning algorithms receives little attention.
Aged Adult Male Middle Aged Predictive Value of Tests Calibration Humans Machine Learning Algorithms
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Hyperparameter-tuned prediction of somatic symptom disorder using functional near-infrared spectroscopy-based dynamic functional connectivity.

Journal of neural engineering Dec 16, 2019
OBJECTIVE: Somatic symptom disorder (SSD) is a reflection of medically unexplained physical symptoms that lead to distress and impairment in social and occupational functioning. SSD is phenomenologically diagnosed and its neurobiology remains unsolve...
Female Adult Male Middle Aged Humans Machine Learning Brain Pain Measurement Electroencephalography Nerve Net Pain Threshold Medically Unexplained Symptoms Spectroscopy, Near-Infrared Functional Neuroimaging Brain Mapping Predictive Value of Tests
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Predicting the occurrence of surgical site infections using text mining and machine learning.

PloS one Dec 13, 2019
In this study we propose the use of text mining and machine learning methods to predict and detect Surgical Site Infections (SSIs) using textual descriptions of surgeries and post-operative patients' records, mined from the database of a high complex...
Bayes Theorem Female Humans Data Mining Machine Learning Male Surgical Wound Infection Algorithms Middle Aged Medical Records Databases, Factual Predictive Value of Tests
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Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage.

Neuroradiology Dec 11, 2019
PURPOSE: To analyze the implementation of deep learning software for the detection and worklist prioritization of acute intracranial hemorrhage on non-contrast head CT (NCCT) in various clinical settings at an academic medical center.
Humans Software Prospective Studies Tomography, X-Ray Computed Female Acute Disease Intracranial Hemorrhages Sensitivity and Specificity Male Deep Learning Predictive Value of Tests
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Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction.

Journal of neurointerventional surgery Dec 10, 2019
BACKGROUND: Angiographic parametric imaging (API), based on digital subtraction angiography (DSA), is a quantitative imaging tool that may be used to extract contrast flow parameters related to hemodynamic conditions in abnormal pathologies such as i...
Intracranial Aneurysm Female Predictive Value of Tests Humans Adult Deep Learning Feasibility Studies Neural Networks, Computer Angiography, Digital Subtraction Male Treatment Outcome Middle Aged
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Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease.

Computer methods and programs in biomedicine Dec 9, 2019
OBJECTIVES: Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of utmost importance for reducing the associated mortality and financial burden. In this research, the authors aimed to develop identification models fo...
Sensitivity and Specificity Male Middle Aged ROC Curve Electronic Health Records Female Aged Pulmonary Disease, Chronic Obstructive Logistic Models Support Vector Machine Predictive Value of Tests Bayes Theorem Humans Machine Learning Algorithms
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