Lung - AI Medical Compendium

A Novel Machine Learning-derived Radiomic Signature of the Whole Lung Differentiates Stable From Progressive COVID-19 Infection: A Retrospective Cohort Study.

Journal of thoracic imaging Nov 1, 2020

OBJECTIVE: This study aimed to use the radiomics signatures of a machine learning-based tool to evaluate the prognosis of patients with coronavirus disease 2019 (COVID-19) infection.

Machine Learning COVID-19 Retrospective Studies Tomography, X-Ray Computed Female Humans Disease Progression Lung Severity of Illness Index Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results SARS-CoV-2 Sensitivity and Specificity Male Middle Aged

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Anti-inflammatory and antibacterial activities of P. petiolosa (Christ) Ching ethyl acetate extract against S. aureus in mice.

Pakistan journal of pharmaceutical sciences Sep 1, 2020

P. petiolosa as a typical Chinese herbal medicine has been generally utilized as Chinese native medicine formulation for treatment of chronic bronchitis, bronchial asthma and pneumoconiosis. The objective of this study was to evaluate the anti-inflam...

Plant Leaves Polypodiaceae Plant Extracts Anti-Inflammatory Agents Membrane Proteins Acetates Bacterial Load Staphylococcus aureus Solvents Heme Oxygenase-1 Disease Models, Animal Inflammation Mediators Mice, Inbred BALB C Nitric Oxide Synthase Type II Pneumonia, Staphylococcal Anti-Bacterial Agents Tumor Necrosis Factor-alpha Animals Lung

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A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019.

Diagnostic and interventional radiology (Ankara, Turkey) Sep 1, 2020

The results of research on the use of artificial intelligence (AI) for medical imaging of the lungs of patients with coronavirus disease 2019 (COVID-19) has been published in various forms. In this study, we reviewed the AI for diagnostic imaging of ...

Humans SARS-CoV-2 Sensitivity and Specificity Lung Radiography Coronavirus Infections Artificial Intelligence Pandemics COVID-19 Tomography, X-Ray Computed Reproducibility of Results Image Interpretation, Computer-Assisted Betacoronavirus Pneumonia, Viral

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Augmenting Interpretation of Chest Radiographs With Deep Learning Probability Maps.

Journal of thoracic imaging Sep 1, 2020

PURPOSE: Pneumonia is a common clinical diagnosis for which chest radiographs are often an important part of the diagnostic workup. Deep learning has the potential to expedite and improve the clinical interpretation of chest radiographs. While earlie...

Radiographic Image Interpretation, Computer-Assisted Probability Radiography, Thoracic Adult Male Retrospective Studies Deep Learning Middle Aged Female Adolescent Infant Humans Aged Child, Preschool Lung Child Aged, 80 and over Pneumonia Young Adult

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Comparison between atlas and convolutional neural network based automatic segmentation of multiple organs at risk in non-small cell lung cancer.

Medicine Aug 21, 2020

Delineation of organs at risk (OARs) is important but time consuming for radiotherapy planning. Automatic segmentation of OARs based on convolutional neural network (CNN) has been established for lung cancer patients at our institution. The aim of th...

Time Factors Lung Neoplasms Carcinoma, Non-Small-Cell Lung Liver Esophagus Heart Organs at Risk Radiotherapy Planning, Computer-Assisted Spinal Cord Humans Neural Networks, Computer Retrospective Studies Reproducibility of Results Lung

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