AIMC Topic: Radiography, Thoracic

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Combination of Deep Learning-Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation.

AJR. American journal of roentgenology Oct 14, 2020
The objective of our study was to assess the effect of the combination of deep learning-based denoising (DLD) and iterative reconstruction (IR) on image quality and Lung Imaging Reporting and Data System (Lung-RADS) evaluation on chest ultra-low-dos...
Tomography, X-Ray Computed Female Aged Radiographic Image Interpretation, Computer-Assisted Adult Artifacts Radiation Dosage Humans Radiography, Thoracic Retrospective Studies Male Middle Aged Deep Learning Lung Neoplasms
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Extravalidation and reproducibility results of a commercial deep learning-based automatic detection algorithm for pulmonary nodules on chest radiographs at tertiary hospital.

Journal of medical imaging and radiation oncology Oct 8, 2020
INTRODUCTION: To extra validate and evaluate the reproducibility of a commercial deep convolutional neural network (DCNN) algorithm for pulmonary nodules on chest radiographs (CRs) and to compare its performance with radiologists.
Tertiary Care Centers Humans Radiography, Thoracic Algorithms Retrospective Studies Reproducibility of Results Deep Learning
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Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.

Medical image analysis Oct 8, 2020
The recent global outbreak and spread of coronavirus disease (COVID-19) makes it an imperative to develop accurate and efficient diagnostic tools for the disease as medical resources are getting increasingly constrained. Artificial intelligence (AI)-...
Sensitivity and Specificity Radiography, Thoracic Pneumonia, Viral Neural Networks, Computer Humans COVID-19 Tomography, X-Ray Computed SARS-CoV-2
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Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence.

Radiology Sep 24, 2020
Background Radiologists are proficient in differentiating between chest radiographs with and without symptoms of pneumonia but have found it more challenging to differentiate coronavirus disease 2019 (COVID-19) pneumonia from non-COVID-19 pneumonia o...
Retrospective Studies Female SARS-CoV-2 Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Humans Artificial Intelligence COVID-19 Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Male Middle Aged Lung Adolescent
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Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.

International journal of medical informatics Sep 23, 2020
OBJECTIVE: This study aims to develop and test a new computer-aided diagnosis (CAD) scheme of chest X-ray images to detect coronavirus (COVID-19) infected pneumonia.
Radiography, Thoracic Humans Neural Networks, Computer Tomography, X-Ray Computed COVID-19 Algorithms SARS-CoV-2 Diagnosis, Computer-Assisted Deep Learning
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Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging.

International journal of computer assisted radiology and surgery Sep 23, 2020
PURPOSE: Machine learning (ML) algorithms are well known to exhibit variations in prediction accuracy when provided with imbalanced training sets typically seen in medical imaging (MI) due to the imbalanced ratio of pathological and normal cases. Thi...
Machine Learning Algorithms Datasets as Topic Radiography, Thoracic Humans X-Rays Neural Networks, Computer
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Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population.

Radiology Sep 22, 2020
Background The performance of a deep learning algorithm for lung cancer detection on chest radiographs in a health screening population is unknown. Purpose To validate a commercially available deep learning algorithm for lung cancer detection on ches...
Deep Learning Lung Neoplasms Mass Screening Radiography, Thoracic Humans Female Retrospective Studies Sensitivity and Specificity Republic of Korea Male Middle Aged
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Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data.

International journal of environmental research and public health Sep 22, 2020
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise warnings on what...
Radiography, Thoracic Pneumonia, Viral Humans Pandemics COVID-19 Deep Learning Italy Coronavirus Infections Datasets as Topic
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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Male Middle Aged Comorbidity Severity of Illness Index SARS-CoV-2 Hospitalization Aged Pulmonary Disease, Chronic Obstructive Italy Neurodegenerative Diseases Coronary Artery Disease Sex Factors Deep Learning Age Factors Radiography Emergency Service, Hospital Humans Artificial Intelligence COVID-19 Prognosis Retrospective Studies Tomography, X-Ray Computed Intensive Care Units Female Proportional Hazards Models Radiography, Thoracic Mortality
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Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs.

JAMA network open Sep 1, 2020
IMPORTANCE: The improvement of pulmonary nodule detection, which is a challenging task when using chest radiographs, may help to elevate the role of chest radiographs for the diagnosis of lung cancer.
Radiographic Image Enhancement Algorithms Female Reproducibility of Results Predictive Value of Tests Deep Learning Lung Neoplasms Aged Sensitivity and Specificity Humans Radiologists Solitary Pulmonary Nodule Male Artificial Intelligence Tumor Burden Early Detection of Cancer Middle Aged Radiography, Thoracic Lung
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