AIMC Topic: Radiography, Thoracic

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Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography.

Occupational and environmental medicine May 29, 2020
OBJECTIVES: To investigate the potential of deep learning in assessing pneumoconiosis depicted on digital chest radiographs and to compare its performance with certified radiologists.
Radiologists Radiography, Thoracic Radiographic Image Enhancement Reproducibility of Results Aged Male Middle Aged Deep Learning China ROC Curve Occupational Exposure Pneumoconiosis Dust Humans Neural Networks, Computer Retrospective Studies Female
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Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis.

Proceedings of the National Academy of Sciences of the United States of America May 26, 2020
Artificial intelligence (AI) systems for computer-aided diagnosis and image-based screening are being adopted worldwide by medical institutions. In such a context, generating fair and unbiased classifiers becomes of paramount importance. The research...
Humans Female Male Deep Learning Radiographic Image Interpretation, Computer-Assisted Sex Factors Bias Datasets as Topic Reference Standards Radiography, Thoracic
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COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System.

Radiology May 8, 2020
Background Chest radiography may play an important role in triage for coronavirus disease 2019 (COVID-19), particularly in low-resource settings. Purpose To evaluate the performance of an artificial intelligence (AI) system for detection of COVID-19 ...
Pandemics COVID-19 Databases, Factual ROC Curve Tomography, X-Ray Computed SARS-CoV-2 Radiographic Image Interpretation, Computer-Assisted Female Aged Radiography, Thoracic Humans Coronavirus Infections Aged, 80 and over Betacoronavirus Male Artificial Intelligence Pneumonia, Viral Middle Aged
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Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets.

IEEE transactions on medical imaging May 8, 2020
Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important. Unfortunately, due to the emergent nature of the COVID-19 pandemic, a system...
Lung Deep Learning Coronavirus Infections Humans Image Interpretation, Computer-Assisted Pandemics Radiography, Thoracic COVID-19 Algorithms Betacoronavirus SARS-CoV-2 Pneumonia, Viral
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Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning.

IEEE transactions on medical imaging May 5, 2020
Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of infected patients and heavy labor for doctors, computer-aided diagnosis with machine learning algorithm is urgently needed, ...
Adolescent Child Coronavirus Infections Radiography, Thoracic Machine Learning Aged, 80 and over Betacoronavirus Algorithms Young Adult Pneumonia, Viral Pandemics Tomography, X-Ray Computed COVID-19 Adult Female Humans Male SARS-CoV-2 Middle Aged Aged
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Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.

European radiology Apr 29, 2020
OBJECTIVES: To investigate the optimal input matrix size for deep learning-based computer-aided detection (CAD) of nodules and masses on chest radiographs.
Radiography, Thoracic Lung Neoplasms Solitary Pulmonary Nodule Radiography Radiographic Image Interpretation, Computer-Assisted Precancerous Conditions Male Middle Aged Lung Diagnosis, Computer-Assisted Humans Deep Learning Neural Networks, Computer Retrospective Studies Female Aged
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Estimation of age in unidentified patients via chest radiography using convolutional neural network regression.

Emergency radiology Apr 28, 2020
PURPOSE: Patient age has important clinical utility for refining a differential diagnosis in radiology. Here, we evaluate the potential for convolutional neural network models to predict patient age based on anterior-posterior chest radiographs for i...
Predictive Value of Tests Emergency Service, Hospital Datasets as Topic Radiography, Thoracic Age Determination by Skeleton Humans Neural Networks, Computer Female Male
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Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.

Radiology Apr 27, 2020
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige...
Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Retrospective Studies Tomography, X-Ray Computed Female Infant, Newborn SARS-CoV-2 Adolescent Child, Preschool Child Diagnosis, Differential Pneumonia Radiologists Male Middle Aged Infant Lung China Humans Artificial Intelligence Pandemics COVID-19 Pneumonia, Viral Coronavirus Infections Radiography, Thoracic Philadelphia Rhode Island Betacoronavirus
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Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography.

European radiology experimental Apr 17, 2020
BACKGROUND: Automatically detecting and quantifying pneumothorax on chest computed tomography (CT) may impact clinical decision-making. Machine learning methods published so far struggle with the heterogeneity of technical parameters and the presence...
Deep Learning Adolescent Humans Radiography, Thoracic Aged, 80 and over Retrospective Studies Child, Preschool Adult Pneumothorax Tomography, X-Ray Computed Child Male Female Radiographic Image Interpretation, Computer-Assisted Middle Aged Aged Infant
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Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks.

Physical and engineering sciences in medicine Apr 3, 2020
In this study, a dataset of X-ray images from patients with common bacterial pneumonia, confirmed Covid-19 disease, and normal incidents, was utilized for the automatic detection of the Coronavirus disease. The aim of the study is to evaluate the per...
Coronavirus Infections Humans COVID-19 Radiography, Thoracic Neural Networks, Computer Databases, Factual Pandemics Pneumonia, Bacterial SARS-CoV-2 Betacoronavirus Deep Learning Pneumonia, Viral Radiographic Image Interpretation, Computer-Assisted
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