AIMC Topic: Radiography, Thoracic

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Assessing clinical applicability of COVID-19 detection in chest radiography with deep learning.

Scientific reports Apr 21, 2022
The coronavirus disease 2019 (COVID-19) pandemic has impacted healthcare systems across the world. Chest radiography (CXR) can be used as a complementary method for diagnosing/following COVID-19 patients. However, experience level and workload of tec...
Deep Learning Radiography Radiography, Thoracic Humans COVID-19 Retrospective Studies
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Automated estimation of total lung volume using chest radiographs and deep learning.

Medical physics Apr 18, 2022
BACKGROUND: Total lung volume is an important quantitative biomarker and is used for the assessment of restrictive lung diseases.
Humans Retrospective Studies Radiography, Thoracic Lung Thorax Deep Learning Lung Volume Measurements
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Automated quality assessment of chest radiographs based on deep learning and linear regression cascade algorithms.

European radiology Apr 14, 2022
OBJECTIVES: Develop and evaluate the performance of deep learning and linear regression cascade algorithms for automated assessment of the image layout and position of chest radiographs.
Humans Algorithms Retrospective Studies Linear Models Radiography, Thoracic Adult Deep Learning
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Artificial intelligence-based detection of atrial fibrillation from chest radiographs.

European radiology Mar 31, 2022
OBJECTIVE: The purpose of this study was to develop an artificial intelligence (AI)-based model to detect features of atrial fibrillation (AF) on chest radiographs.
Humans Artificial Intelligence Retrospective Studies Female Atrial Fibrillation Aged, 80 and over Middle Aged Aged Male Radiography, Thoracic Deep Learning Radiography
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DeBoNet: A deep bone suppression model ensemble to improve disease detection in chest radiographs.

PloS one Mar 31, 2022
Automatic detection of some pulmonary abnormalities using chest X-rays may be impacted adversely due to obscuring by bony structures like the ribs and the clavicles. Automated bone suppression methods would increase soft tissue visibility and enhance...
Signal-To-Noise Ratio Radiography, Thoracic COVID-19 Humans Clavicle Ribs Neural Networks, Computer Lung Diseases
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Diagnostic accuracy of a commercially available deep-learning algorithm in supine chest radiographs following trauma.

The British journal of radiology Mar 24, 2022
OBJECTIVES: Trauma chest radiographs may contain subtle and time-critical pathology. Artificial intelligence (AI) may aid in accurate reporting, timely identification and worklist prioritisation. However, few AI programs have been externally validate...
Humans Artificial Intelligence Algorithms Male Middle Aged Deep Learning Retrospective Studies Aged Adult Radiography Radiography, Thoracic
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Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs.

Journal of digital imaging Mar 18, 2022
Algorithms that automatically identify nodular patterns in chest X-ray (CXR) images could benefit radiologists by reducing reading time and improving accuracy. A promising approach is to use deep learning, where a deep neural network (DNN) is trained...
Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Humans Neural Networks, Computer Algorithms Radiography
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INASNET: Automatic identification of coronavirus disease (COVID-19) based on chest X-ray using deep neural network.

ISA transactions Mar 3, 2022
Testing is one of the important methodologies used by various countries in order to fight against COVID-19 infection. The infection is considered as one of the deadliest ones although the mortality rate is not very high. COVID-19 infection is being c...
Radiography, Thoracic X-Rays Algorithms SARS-CoV-2 Deep Learning Pneumonia RNA, Viral Humans Neural Networks, Computer COVID-19
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Automated pneumothorax triaging in chest X-rays in the New Zealand population using deep-learning algorithms.

Journal of medical imaging and radiation oncology Feb 27, 2022
INTRODUCTION: The primary aim was to develop convolutional neural network (CNN)-based artificial intelligence (AI) models for pneumothorax classification and segmentation for automated chest X-ray (CXR) triaging. A secondary aim was to perform interp...
Triage Humans New Zealand Artificial Intelligence Radiography, Thoracic X-Rays Algorithms Pneumothorax Deep Learning
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COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images.

Scientific reports Feb 25, 2022
Novel Coronavirus disease (COVID-19) is a highly contagious respiratory infection that has had devastating effects on the world. Recently, new COVID-19 variants are emerging making the situation more challenging and threatening. Evaluation and quanti...
Radiography, Thoracic Middle Aged Image Processing, Computer-Assisted Neural Networks, Computer Datasets as Topic COVID-19 Female Tomography, X-Ray Computed Male Humans
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