AIMC Topic:
Predictive Value of Tests

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Mobile detection of autism through machine learning on home video: A development and prospective validation study.

PLoS medicine Nov 27, 2018
BACKGROUND: The standard approaches to diagnosing autism spectrum disorder (ASD) evaluate between 20 and 100 behaviors and take several hours to complete. This has in part contributed to long wait times for a diagnosis and subsequent delays in access...
Child Behavior Video Recording Remote Consultation Early Diagnosis Autistic Disorder Adolescent Behavior Humans Age Factors Machine Learning Predictive Value of Tests Prospective Studies Feasibility Studies Female Time Factors Reproducibility of Results Child, Preschool Male Child Diagnosis, Computer-Assisted Infant Adolescent
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Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

PLoS medicine Nov 27, 2018
BACKGROUND: Magnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject to diagnostic error and variability. An automated system for interpreting...
Humans Databases, Factual Retrospective Studies Young Adult Adult Male Knee Female Predictive Value of Tests Reproducibility of Results Image Interpretation, Computer-Assisted Middle Aged Automation Diagnosis, Computer-Assisted Tibial Meniscus Injuries Deep Learning Anterior Cruciate Ligament Injuries Magnetic Resonance Imaging
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Machine Learning Algorithms Utilizing Functional Respiratory Imaging May Predict COPD Exacerbations.

Academic radiology Nov 23, 2018
RATIONALE AND OBJECTIVES: Acute chronic obstructive pulmonary disease exacerbations (AECOPD) have a significant negative impact on the quality of life and accelerate progression of the disease. Functional respiratory imaging (FRI) has the potential t...
Airway Resistance Functional Residual Capacity Disease Progression Support Vector Machine Predictive Value of Tests Humans Tidal Volume Pulmonary Disease, Chronic Obstructive Retrospective Studies Aged Male Female Aged, 80 and over Middle Aged
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Rapid Rule Out of Culture-Negative Bloodstream Infections by Use of a Novel Approach to Universal Detection of Bacteria and Fungi.

The journal of applied laboratory medicine Nov 20, 2018
BACKGROUND: Currently it can take up to 5 days to rule out bloodstream infection. With the low yield of blood cultures (approximately 10%), a significant number of patients are potentially exposed to inappropriate therapy that can lead to adverse eve...
Limit of Detection Bacteria Humans Antimicrobial Stewardship Fungemia Anti-Infective Agents Bacteremia Bacterial Proteins DNA-Directed DNA Polymerase Blood Culture Time Factors Fungi Predictive Value of Tests Real-Time Polymerase Chain Reaction Fungal Proteins
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Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study.

PLoS medicine Nov 20, 2018
BACKGROUND: Pneumothorax can precipitate a life-threatening emergency due to lung collapse and respiratory or circulatory distress. Pneumothorax is typically detected on chest X-ray; however, treatment is reliant on timely review of radiographs. Sinc...
Deep Learning Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Automation Radiography, Thoracic Prognosis Retrospective Studies Reproducibility of Results Diagnosis, Computer-Assisted Pneumothorax Humans Databases, Factual
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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

PLoS medicine Nov 20, 2018
BACKGROUND: Chest radiograph interpretation is critical for the detection of thoracic diseases, including tuberculosis and lung cancer, which affect millions of people worldwide each year. This time-consuming task typically requires expert radiologis...
Diagnosis, Computer-Assisted Deep Learning Clinical Competence Pneumonia Predictive Value of Tests Humans Retrospective Studies Reproducibility of Results Radiologists Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic
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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...
Algorithms Retrospective Studies Sensitivity and Specificity Electrocardiography Arrhythmias, Cardiac Humans Predictive Value of Tests Neural Networks, Computer Emergency Service, Hospital
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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...
Humans Female Breast Neoplasms Risk Assessment Predictive Value of Tests Breast Density Artificial Intelligence Machine Learning Algorithms Prognosis
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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...
Myocardial Ischemia Cardiac Catheterization Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Angiography Ultrasonography, Interventional Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Machine Learning Republic of Korea Prognosis Female Retrospective Studies Severity of Illness Index Reproducibility of Results Clinical Decision-Making Male Diagnosis, Computer-Assisted Aged Middle Aged Humans Predictive Value of Tests
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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...
Self-Injurious Behavior Risk Assessment Humans Suicide, Attempted Machine Learning Suicidal Ideation Predictive Value of Tests
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