AIMC Topic: Lung

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Prediction of disease progression in patients with COVID-19 by artificial intelligence assisted lesion quantification.

Scientific reports Dec 16, 2020
To investigate the value of artificial intelligence (AI) assisted quantification on initial chest CT for prediction of disease progression and clinical outcome in patients with coronavirus disease 2019 (COVID-19). Patients with confirmed COVID-19 inf...
Humans Artificial Intelligence COVID-19 Retrospective Studies Tomography, X-Ray Computed Female SARS-CoV-2 ROC Curve Middle Aged Aged Image Processing, Computer-Assisted Disease Progression Aged, 80 and over Lung Area Under Curve Adult Severity of Illness Index Multivariate Analysis Male
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NSCR-Based DenseNet for Lung Tumor Recognition Using Chest CT Image.

BioMed research international Dec 16, 2020
Nonnegative sparse representation has become a popular methodology in medical analysis and diagnosis in recent years. In order to resolve network degradation, higher dimensionality in feature extraction, data redundancy, and other issues faced when m...
Deep Learning Humans Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Lung
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Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection.

PloS one Dec 15, 2020
The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for detecting lung illnesses, including COVID-19. However, the CT scan is expensive a...
Thorax Neural Networks, Computer Machine Learning COVID-19 Algorithms Humans Tomography, X-Ray Computed SARS-CoV-2 Lung Support Vector Machine
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Five novel clinical phenotypes for critically ill patients with mechanical ventilation in intensive care units: a retrospective and multi database study.

Respiratory research Dec 10, 2020
BACKGROUND: Although protective mechanical ventilation (MV) has been used in a variety of applications, lung injury may occur in both patients with and without acute respiratory distress syndrome (ARDS). The purpose of this study is to use machine le...
Ventilator-Induced Lung Injury Male Middle Aged Risk Assessment Respiration, Artificial Lung Treatment Outcome Health Status Predictive Value of Tests Reproducibility of Results Retrospective Studies Risk Factors Critical Illness Aged Intensive Care Units Adult Female Decision Support Techniques Phenotype Databases, Factual Humans Machine Learning
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Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images.

Physical and engineering sciences in medicine Dec 10, 2020
The novel Coronavirus disease (COVID-19), which first appeared at the end of December 2019, continues to spread rapidly in most countries of the world. Respiratory infections occur primarily in the majority of patients treated with COVID-19. In light...
Algorithms SARS-CoV-2 Aged Male Humans Neural Networks, Computer COVID-19 Databases as Topic Thorax X-Rays Lung Time Factors Mass Screening COVID-19 Testing
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Functional Lung MRI: Deep Learning Turns Proton into Helium Ventilation Maps-The Battle Is On!

Radiology Dec 8, 2020
Humans Lung Helium Deep Learning Magnetic Resonance Imaging Pulmonary Ventilation Protons
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Pulmonary Ventilation Maps Generated with Free-breathing Proton MRI and a Deep Convolutional Neural Network.

Radiology Dec 8, 2020
Background Hyperpolarized noble gas MRI helps measure lung ventilation, but clinical translation remains limited. Free-breathing proton MRI may help quantify lung function using existing MRI systems without contrast material and may assist in providi...
Image Interpretation, Computer-Assisted Pulmonary Ventilation Female Protons Aged Adult Male Middle Aged Humans Lung Neural Networks, Computer Magnetic Resonance Imaging Prospective Studies Lung Diseases
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StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images.

Physical and engineering sciences in medicine Dec 4, 2020
The highly contagious nature of Coronavirus disease 2019 (Covid-19) resulted in a global pandemic. Due to the relatively slow and taxing nature of conventional testing for Covid-19, a faster method needs to be in place. The current researches have su...
Neural Networks, Computer COVID-19 Image Processing, Computer-Assisted SARS-CoV-2 Algorithms COVID-19 Testing Models, Theoretical Humans Lung Databases, Factual Artifacts Time Factors X-Rays ROC Curve
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Extraction of the molecular level biomedical event trigger based on gene ontology using radial belief neural network techniques.

Bio Systems Nov 28, 2020
Detection of molecular level biomedical event extraction plays a vital role in creating and visualizing the applications related to natural language processing. Cystic Fibrosis is an inherited genetic and debilitating pathology involving the respirat...
Lung Models, Theoretical Mutation Data Mining Neural Networks, Computer Algorithms Biomedical Research Cystic Fibrosis Gene Expression Regulation Gene Ontology
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DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set.

Radiology Nov 24, 2020
Background There are characteristic findings of coronavirus disease 2019 (COVID-19) on chest images. An artificial intelligence (AI) algorithm to detect COVID-19 on chest radiographs might be useful for triage or infection control within a hospital s...
Radiography, Thoracic Artificial Intelligence COVID-19 Lung Algorithms Humans SARS-CoV-2 United States Female Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Male Datasets as Topic Middle Aged
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