AIMC Topic: Pneumonia

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CheXED: Comparison of a Deep Learning Model to a Clinical Decision Support System for Pneumonia in the Emergency Department.

Journal of thoracic imaging Sep 23, 2021
PURPOSE: Patients with pneumonia often present to the emergency department (ED) and require prompt diagnosis and treatment. Clinical decision support systems for the diagnosis and management of pneumonia are commonly utilized in EDs to improve patien...
Retrospective Studies Deep Learning Decision Support Systems, Clinical Humans Radiography, Thoracic Pneumonia Emergency Service, Hospital Pleural Effusion
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Evaluating Deep Neural Network Architectures with Transfer Learning for Pneumonitis Diagnosis.

Computational and mathematical methods in medicine Sep 12, 2021
Pneumonitis is an infectious disease that causes the inflammation of the air sac. It can be life-threatening to the very young and elderly. Detection of pneumonitis from X-ray images is a significant challenge. Early detection and assistance with dia...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Algorithms Humans Databases, Factual Computational Biology Neural Networks, Computer SARS-CoV-2 Pneumonia COVID-19
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DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images.

Computer methods and programs in biomedicine Sep 9, 2021
BACKGROUND AND OBJECTIVE: Given that the novel coronavirus disease 2019 (COVID-19) has become a pandemic, a method to accurately distinguish COVID-19 from community-acquired pneumonia (CAP) is urgently needed. However, the spatial uncertainty and mor...
Tomography, X-Ray Computed SARS-CoV-2 Deep Learning Pneumonia Humans COVID-19
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Diagnostic classification of coronavirus disease 2019 (COVID-19) and other pneumonias using radiomics features in CT chest images.

Scientific reports Sep 9, 2021
We propose a classification method using the radiomics features of CT chest images to identify patients with coronavirus disease 2019 (COVID-19) and other pneumonias. The chest CT images of two groups of participants (90 COVID-19 patients who were co...
Adult Male Middle Aged Tomography, X-Ray Computed Humans Female C-Reactive Protein COVID-19 Leukocyte Count SARS-CoV-2 Biomedical Engineering Blood Sedimentation Lung Support Vector Machine Pneumonia
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Explainable DCNN based chest X-ray image analysis and classification for COVID-19 pneumonia detection.

Scientific reports Aug 9, 2021
To speed up the discovery of COVID-19 disease mechanisms by X-ray images, this research developed a new diagnosis platform using a deep convolutional neural network (DCNN) that is able to assist radiologists with diagnosis by distinguishing COVID-19 ...
X-Rays Diagnosis, Differential Pneumonia Radiography, Thoracic COVID-19 SARS-CoV-2 Algorithms Sensitivity and Specificity Humans Deep Learning Neural Networks, Computer
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Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification.

Computers in biology and medicine Aug 8, 2021
The Covid-19 European outbreak in February 2020 has challenged the world's health systems, eliciting an urgent need for effective and highly reliable diagnostic instruments to help medical personnel. Deep learning (DL) has been demonstrated to be use...
Lung Deep Learning Pneumonia COVID-19 Humans Reproducibility of Results SARS-CoV-2
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RCoNet: Deformable Mutual Information Maximization and High-Order Uncertainty-Aware Learning for Robust COVID-19 Detection.

IEEE transactions on neural networks and learning systems Aug 3, 2021
The novel 2019 Coronavirus (COVID-19) infection has spread worldwide and is currently a major healthcare challenge around the world. Chest computed tomography (CT) and X-ray images have been well recognized to be two effective techniques for clinical...
Pneumonia Expert Systems Thorax Reproducibility of Results Deep Learning Diagnosis, Differential Information Systems Uncertainty Humans Neural Networks, Computer COVID-19 Algorithms Tomography, X-Ray Computed
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Real-time interactive artificial intelligence of things-based prediction for adverse outcomes in adult patients with pneumonia in the emergency department.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Jul 29, 2021
BACKGROUND: Artificial intelligence of things (AIoT) may be a solution for predicting adverse outcomes in emergency department (ED) patients with pneumonia; however, this issue remains unclear. Therefore, we conducted this study to clarify it.
Emergency Service, Hospital Adult Logistic Models Humans Pneumonia Artificial Intelligence Retrospective Studies
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Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis.

Computer methods and programs in biomedicine Jul 7, 2021
BACKGROUND AND OBJECTIVES: Pneumonia is a disease that affects the lungs, making breathing difficult. Nowadays, pneumonia is the disease that kills the most children under the age of five in the world, and if no action is taken, pneumonia is estimate...
Humans Pneumonia Lung Neural Networks, Computer Bayes Theorem Deep Learning Child
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Deep learning for classification of pediatric chest radiographs by WHO's standardized methodology.

PloS one Jun 21, 2021
BACKGROUND: The World Health Organization (WHO)-defined radiological pneumonia is a preferred endpoint in pneumococcal vaccine efficacy and effectiveness studies in children. Automating the WHO methodology may support more widespread application of t...
Deep Learning Humans Female Observer Variation Reproducibility of Results Pneumonia World Health Organization ROC Curve Male Image Interpretation, Computer-Assisted Radiography, Thoracic Models, Statistical Infant Datasets as Topic
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