AIMC Topic: Lung

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Comparing regression and neural network techniques for personalized predictive analytics to promote lung protective ventilation in Intensive Care Units.

Computers in biology and medicine Oct 8, 2020
Mechanical ventilation is a lifesaving tool and provides organ support for patients with respiratory failure. However, injurious ventilation due to inappropriate delivery of high tidal volume can initiate or potentiate lung injury. This could lead to...
Artificial Intelligence Intensive Care Units Respiration, Artificial Lung Tidal Volume Humans Neural Networks, Computer
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Machine Learning-Based Differentiation of Nontuberculous Mycobacteria Lung Disease and Pulmonary Tuberculosis Using CT Images.

BioMed research international Sep 29, 2020
An increasing number of patients infected with nontuberculous mycobacteria (NTM) are observed worldwide. However, it is challenging to identify NTM lung diseases from pulmonary tuberculosis (PTB) due to considerable overlap in classic manifestations ...
Middle Aged Aged Image Interpretation, Computer-Assisted Lung Adult Tuberculosis, Pulmonary Bronchiectasis Sensitivity and Specificity Mycobacterium Infections, Nontuberculous Male Nontuberculous Mycobacteria Humans Machine Learning Tomography, X-Ray Computed Female
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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...
Adult Sensitivity and Specificity Male Middle Aged Lung Adolescent Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Humans SARS-CoV-2 Aged Aged, 80 and over Young Adult Artificial Intelligence COVID-19 Retrospective Studies Female
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Viral pandemic preparedness: A pluripotent stem cell-based machine-learning platform for simulating SARS-CoV-2 infection to enable drug discovery and repurposing.

Stem cells translational medicine Sep 22, 2020
Infection with the SARS-CoV-2 virus has rapidly become a global pandemic for which we were not prepared. Several clinical trials using previously approved drugs and drug combinations are urgently under way to improve the current situation. A vaccine ...
Humans Computer Simulation Machine Learning SARS-CoV-2 Pandemics Lung Drug Discovery Disease Outbreaks Drug Industry Genome, Viral Pluripotent Stem Cells Genotype Drug Repositioning Alveolar Epithelial Cells COVID-19 Drug Treatment
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Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography.

Radiology Sep 22, 2020
Health Mass Screening Early Detection of Cancer Radiography Thorax Humans Lung Deep Learning Lung Neoplasms
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Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation.

The Lancet. Digital health Sep 22, 2020
BACKGROUND: Prompt identification of patients suspected to have COVID-19 is crucial for disease control. We aimed to develop a deep learning algorithm on the basis of chest CT for rapid triaging in fever clinics.
Female Reproducibility of Results Humans Aged Adult COVID-19 Algorithms Retrospective Studies Deep Learning Tomography, X-Ray Computed China Male Triage Middle Aged Lung Severity of Illness Index
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COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.

Interdisciplinary sciences, computational life sciences Sep 21, 2020
The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a major pandemic outbreak recently. Various diagnostic technologies have been under active development. The novel coronavirus disease (COVID-19) may induce ...
Models, Biological Coronavirus Infections Reference Values COVID-19 Testing Lung Deep Learning Pneumonia Radiography Pneumonia, Viral Coronavirus Datasets as Topic X-Rays Clinical Laboratory Techniques Betacoronavirus Neural Networks, Computer Machine Learning Pandemics COVID-19 Algorithms Databases, Factual Humans Tomography, X-Ray Computed SARS-CoV-2
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Comparison of performances of conventional and deep learning-based methods in segmentation of lung vessels and registration of chest radiographs.

Radiological physics and technology Sep 11, 2020
Conventional machine learning-based methods have been effective in assisting physicians in making accurate decisions and utilized in computer-aided diagnosis for more than 30 years. Recently, deep learning-based methods, and convolutional neural netw...
Deep Learning Image Processing, Computer-Assisted Radiography Neural Networks, Computer Lung Diagnosis, Computer-Assisted
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4D-AirNet: a temporally-resolved CBCT slice reconstruction method synergizing analytical and iterative method with deep learning.

Physics in medicine and biology Sep 11, 2020
Four-dimensional (4D) cone-beam CT (CBCT) reconstructs temporally-resolved phases of 3D volumes often with the same amount of projection data that are meant for reconstructing a single 3D volume. 4D CBCT is a sparse-data problem that is very challeng...
Phantoms, Imaging Four-Dimensional Computed Tomography Deep Learning Time Factors Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Lung
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Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model.

Annals of internal medicine Sep 1, 2020
BACKGROUND: Lung cancer screening with chest computed tomography (CT) reduces lung cancer death. Centers for Medicare & Medicaid Services (CMS) eligibility criteria for lung cancer screening with CT require detailed smoking information and miss many ...
Early Detection of Cancer Smoking Aged Sensitivity and Specificity Male Middle Aged Risk Assessment Lung Deep Learning Lung Neoplasms Decision Support Techniques Tomography, X-Ray Computed Female Risk Factors Humans
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