AIMC Topic: Predictive Value of Tests

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A deep neural network learning algorithm outperforms a conventional algorithm for emergency department electrocardiogram interpretation.

Journal of electrocardiology Nov 16, 2018
BACKGROUND: Cardiologs® has developed the first electrocardiogram (ECG) algorithm that uses a deep neural network (DNN) for full 12‑lead ECG analysis, including rhythm, QRS and ST-T-U waves. We compared the accuracy of the first version of Cardiologs...
Predictive Value of Tests Emergency Service, Hospital Arrhythmias, Cardiac Neural Networks, Computer Algorithms Humans Retrospective Studies Sensitivity and Specificity Electrocardiography
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A Review of the Role of Augmented Intelligence in Breast Imaging: From Automated Breast Density Assessment to Risk Stratification.

AJR. American journal of roentgenology Nov 13, 2018
OBJECTIVE: The goal of augmented intelligence is to increase efficiency and effectiveness in practice. To achieve this, augmented intelligence technologies are being asked to perform a range of tasks, from simple to complex and quantitative. The deve...
Breast Neoplasms Risk Assessment Predictive Value of Tests Breast Density Machine Learning Algorithms Prognosis Female Humans Artificial Intelligence
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Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation.

PLoS medicine Nov 13, 2018
BACKGROUND: Invasive fractional flow reserve (FFR) is a standard tool for identifying ischemia-producing coronary stenosis. However, in clinical practice, over 70% of treatment decisions still rely on visual estimation of angiographic stenosis, which...
Humans Machine Learning Prognosis Ultrasonography, Interventional Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Clinical Decision-Making Coronary Vessels Republic of Korea Myocardial Ischemia Middle Aged Cardiac Catheterization Female Severity of Illness Index Coronary Stenosis Reproducibility of Results Fractional Flow Reserve, Myocardial Diagnosis, Computer-Assisted Aged Predictive Value of Tests Male Coronary Angiography
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The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review.

Journal of affective disorders Nov 12, 2018
BACKGROUND: Machine learning techniques offer promise to improve suicide risk prediction. In the current systematic review, we aimed to review the existing literature on the application of machine learning techniques to predict self-injurious thought...
Humans Suicidal Ideation Machine Learning Predictive Value of Tests Risk Assessment Self-Injurious Behavior Suicide, Attempted
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Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage.

Journal of neurointerventional surgery Nov 10, 2018
BACKGROUND AND PURPOSE: Delayed cerebral ischemia (DCI) is a severe complication in patients with aneurysmal subarachnoid hemorrhage. Several associated predictors have been previously identified. However, their predictive value is generally low. We ...
Machine Learning Prospective Studies Prognosis Tomography, X-Ray Computed Sensitivity and Specificity Cohort Studies Predictive Value of Tests Subarachnoid Hemorrhage Brain Ischemia Humans
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Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models.

PloS one Nov 9, 2018
BACKGROUND: The purpose of this study was to build a model of machine learning (ML) for the prediction of mortality in patients with isolated moderate and severe traumatic brain injury (TBI).
Taiwan Predictive Value of Tests Bayes Theorem Abbreviated Injury Scale Machine Learning Young Adult Humans Female Logistic Models Neural Networks, Computer Adult Aged Support Vector Machine Aged, 80 and over Male Brain Injuries, Traumatic Middle Aged Decision Trees ROC Curve
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Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy.

Scientific reports Nov 6, 2018
Precision or personalized cancer medicine is a clinical approach that strives to customize therapies based upon the genomic profiles of individual patient tumors. Machine learning (ML) is a computational method particularly suited to the establishmen...
Precision Medicine Female Biomarkers, Tumor Neoplasms Transcriptome Humans Machine Learning Algorithms Databases, Factual Fluorouracil Genome, Human Antimetabolites, Antineoplastic Deoxycytidine Gemcitabine Computational Biology Support Vector Machine Ovarian Neoplasms Predictive Value of Tests
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Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.

PLoS medicine Nov 6, 2018
BACKGROUND: There is interest in using convolutional neural networks (CNNs) to analyze medical imaging to provide computer-aided diagnosis (CAD). Recent work has suggested that image classification CNNs may not generalize to new data as well as previ...
Diagnosis, Computer-Assisted Deep Learning United States Predictive Value of Tests Pneumonia Aged Humans Radiographic Image Interpretation, Computer-Assisted Adult Retrospective Studies Radiology Information Systems Cross-Sectional Studies Female Radiography, Thoracic Male Reproducibility of Results Middle Aged
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Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.

PLoS medicine Nov 6, 2018
BACKGROUND: Electronic medical records provide large-scale real-world clinical data for use in developing clinical decision systems. However, sophisticated methodology and analytical skills are required to handle the large-scale datasets necessary fo...
Female Reproducibility of Results Young Adult Male Disease Progression Machine Learning Humans Time Factors Prognosis Child Retrospective Studies Age Factors Electronic Health Records Refraction, Ocular Predictive Value of Tests Myopia Data Mining Diagnosis, Computer-Assisted China Adolescent
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Predicting conversion from clinically isolated syndrome to multiple sclerosis-An imaging-based machine learning approach.

NeuroImage. Clinical Nov 5, 2018
Magnetic resonance imaging (MRI) scans play a pivotal role in the evaluation of patients presenting with a clinically isolated syndrome (CIS), as these may depict brain lesions suggestive of an inflammatory cause. We hypothesized that it is possible ...
Humans Predictive Value of Tests Multiple Sclerosis Male Demyelinating Diseases Machine Learning Middle Aged Prospective Studies Disease Progression Female Cohort Studies Adult Magnetic Resonance Imaging
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