AIMC Topic: Pneumonia

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Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results.

Japanese journal of radiology May 14, 2021
PURPOSE: To evaluate whether early chest computed tomography (CT) lesions quantified by an artificial intelligence (AI)-based commercial software and blood test values at the initial presentation can differentiate the severity of COVID-19 pneumonia.
Deep Learning Pneumonia Middle Aged Lung Diagnosis, Computer-Assisted Tomography, X-Ray Computed Female SARS-CoV-2 Aged Aged, 80 and over Young Adult COVID-19 Humans Adult Algorithms Artificial Intelligence Male Technology Retrospective Studies
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Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times.

BMC medical imaging May 8, 2021
BACKGROUND: Functional lung MRI techniques are usually associated with time-consuming post-processing, where manual lung segmentation represents the most cumbersome part. The aim of this study was to investigate whether deep learning-based segmentati...
Humans Neural Networks, Computer Magnetic Resonance Imaging Pneumonia Cystic Fibrosis Respiration Lung Case-Control Studies Deep Learning Lung Neoplasms
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ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans.

PloS one May 7, 2021
The development of medical assisting tools based on artificial intelligence advances is essential in the global fight against COVID-19 outbreak and the future of medical systems. In this study, we introduce ai-corona, a radiologist-assistant deep lea...
Sensitivity and Specificity Thorax Databases, Factual Pneumonia Deep Learning Humans Tomography, X-Ray Computed Reverse Transcriptase Polymerase Chain Reaction Area Under Curve COVID-19 SARS-CoV-2 ROC Curve Radiologists RNA, Viral
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Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques.

Disease markers Apr 22, 2021
Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found to give low detection rate during early stages of infection. Radiological analysis of CT images has given higher prediction rate when compared to RT-...
Models, Statistical Tomography, X-Ray Computed Bayes Theorem Decision Trees Community-Acquired Infections Sensitivity and Specificity Pneumonia Humans Lung Machine Learning Case-Control Studies COVID-19
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Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images.

The British journal of radiology Apr 16, 2021
OBJECTIVE: Pneumonia is a lung infection and causes the inflammation of the small air sacs (Alveoli) in one or both lungs. Proper and faster diagnosis of pneumonia at an early stage is imperative for optimal patient care. Currently, chest X-ray is co...
Humans Child, Preschool ROC Curve Pneumonia Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Infant Lung Deep Learning Early Diagnosis
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Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset.

Scientific reports Apr 16, 2021
The reliability of machine learning models can be compromised when trained on low quality data. Many large-scale medical imaging datasets contain low quality labels extracted from sources such as medical reports. Moreover, images within a dataset may...
Diagnostic Imaging Datasets as Topic Radiography, Thoracic Algorithms Image Processing, Computer-Assisted Pneumonia Humans Neural Networks, Computer Machine Learning
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Diagnostic performance of artificial intelligence model for pneumonia from chest radiography.

PloS one Apr 15, 2021
OBJECTIVE: The chest X-ray (CXR) is the most readily available and common imaging modality for the assessment of pneumonia. However, detecting pneumonia from chest radiography is a challenging task, even for experienced radiologists. An artificial in...
Area Under Curve Tertiary Care Centers Thorax Male Middle Aged ROC Curve Pneumonia Female Aged Adult Humans Artificial Intelligence Tomography, X-Ray Computed
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Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation.

Respiratory research Mar 31, 2021
BACKGROUND: Pneumonia is the most frequently encountered postoperative pulmonary complications (PPC) after orthotopic liver transplantation (OLT), which cause high morbidity and mortality rates. We aimed to develop a model to predict postoperative pn...
Humans Machine Learning Retrospective Studies Electronic Health Records Female Support Vector Machine Middle Aged Pneumonia Risk Assessment Predictive Value of Tests Deep Learning Liver Transplantation Risk Factors Treatment Outcome Adult Male
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Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases.

Computers in biology and medicine Mar 19, 2021
Corona Virus Disease (COVID-19) has been announced as a pandemic and is spreading rapidly throughout the world. Early detection of COVID-19 may protect many infected people. Unfortunately, COVID-19 can be mistakenly diagnosed as pneumonia or lung can...
Pneumonia Deep Learning Lung Neoplasms Early Detection of Cancer Humans COVID-19 Algorithms SARS-CoV-2
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Image-based deep learning in diagnosing the etiology of pneumonia on pediatric chest X-rays.

Pediatric pulmonology Mar 19, 2021
PURPOSE: Comparing the efficacy of a deep-learning model in classifying the etiology of pneumonia on pediatric chest X-rays (CXRs) with that of human readers.
Pneumonia Area Under Curve Radiography X-Rays Humans Deep Learning Child
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