AIMC Topic: Radiography, Thoracic

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Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence.

European radiology Jan 10, 2023
OBJECTIVES: To externally validate the performance of a commercial AI software program for interpreting CXRs in a large, consecutive, real-world cohort from primary healthcare centres.
Middle Aged Lung Prevalence Adult Male Radiography, Thoracic Cohort Studies Lung Diseases Artificial Intelligence Software Humans Reproducibility of Results Female Aged
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Detection and identification of cardiac implanted electronic devices in a large data set of chest radiographs using semi-supervised artificial intelligence methods.

Heart rhythm Jan 5, 2023
Artificial Intelligence Radiography, Thoracic
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Development and Validation of a Deep Learning-Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs.

JAMA network open Jan 3, 2023
IMPORTANCE: Dual-energy chest radiography exhibits better sensitivity than single-energy chest radiography, partly due to its ability to remove overlying anatomical structures.
Neural Networks, Computer Male Middle Aged Humans Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Deep Learning Radiography
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Reducing Errors Resulting From Commonly Missed Chest Radiography Findings.

Chest Dec 10, 2022
Chest radiography (CXR), the most frequently performed imaging examination, is vulnerable to interpretation errors resulting from commonly missed findings. Methods to reduce these errors are presented. A practical approach using a systematic and comp...
Radiography Humans Artificial Intelligence Radiography, Thoracic
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Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray.

IEEE journal of biomedical and health informatics Dec 7, 2022
Chest X-ray (CXR) is commonly performed as an initial investigation in COVID-19, whose fast and accurate diagnosis is critical. Recently, deep learning has a great potential in detecting people who are suspected to be infected with COVID-19. However,...
COVID-19 Testing Semantics Radiography, Thoracic SARS-CoV-2 Deep Learning X-Rays Humans COVID-19 Reproducibility of Results Neural Networks, Computer
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Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs.

Radiology Dec 6, 2022
Background Supine chest radiography for bedridden patients in intensive care units (ICUs) is one of the most frequently ordered imaging studies worldwide. Purpose To evaluate the diagnostic performance of a neural network-based model that is trained ...
Radiography, Thoracic Child Artificial Intelligence Radiography Retrospective Studies Male Aged Lung Adult Female Humans
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Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs.

JAMA network open Dec 1, 2022
IMPORTANCE: Early detection of pneumothorax, most often via chest radiography, can help determine need for emergent clinical intervention. The ability to accurately detect and rapidly triage pneumothorax with an artificial intelligence (AI) model cou...
Deep Learning Adolescent Radiography, Thoracic Pneumothorax Radiography Adult Male Middle Aged Retrospective Studies Female Humans Artificial Intelligence
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Lesion detection of chest X-Ray based on scalable attention residual CNN.

Mathematical biosciences and engineering : MBE Nov 4, 2022
Most of the research on disease recognition in chest X-rays is limited to segmentation and classification, but the problem of inaccurate recognition in edges and small parts makes doctors spend more time making judgments. In this paper, we propose a ...
Neural Networks, Computer Algorithms X-Rays Lung Radiography, Thoracic
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Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese.

PloS one Oct 31, 2022
Deep learning, in recent times, has made remarkable strides when it comes to impressive performance for many tasks, including medical image processing. One of the contributing factors to these advancements is the emergence of large medical image data...
Radiography, Thoracic Radiology Humans Thorax Asian People Deep Learning
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Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement.

PloS one Oct 6, 2022
In response to the COVID-19 global pandemic, recent research has proposed creating deep learning based models that use chest radiographs (CXRs) in a variety of clinical tasks to help manage the crisis. However, the size of existing datasets of CXRs f...
X-Rays Deep Learning COVID-19 Radiography, Thoracic Humans Lung
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