AIMC Topic: Radiography

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E-TBNet: Light Deep Neural Network for Automatic Detection of Tuberculosis with X-ray DR Imaging.

Sensors (Basel, Switzerland) Jan 21, 2022
Currently, the tuberculosis (TB) detection model based on chest X-ray images has the problem of excessive reliance on hardware computing resources, high equipment performance requirements, and being harder to deploy in low-cost personal computer and ...
Thorax Humans Neural Networks, Computer X-Rays Radiography Tuberculosis
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Detection of metallic objects on digital radiographs with convolutional neural networks: A MRI screening tool.

Radiography (London, England : 1995) Jan 15, 2022
INTRODUCTION: Screening for metallic implants and foreign bodies before magnetic resonance imaging (MRI) examinations, are crucial for patient safety. History of health are supplied by the patient, a family member, screening of electronic health reco...
Radiography Magnetic Resonance Imaging Area Under Curve Neural Networks, Computer Deep Learning Humans
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Prime Time for Artificial Intelligence in Interventional Radiology.

Cardiovascular and interventional radiology Jan 14, 2022
Machine learning techniques, also known as artificial intelligence (AI), is about to dramatically change workflow and diagnostic capabilities in diagnostic radiology. The interest in AI in Interventional Radiology is rapidly gathering pace. With this...
Artificial Intelligence Machine Learning Radiography Workflow Humans Radiology, Interventional
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Automatic coronavirus disease 2019 diagnosis based on chest radiography and deep learning - Success story or dataset bias?

Medical physics Jan 12, 2022
PURPOSE: Over the last 2 years, the artificial intelligence (AI) community has presented several automatic screening tools for coronavirus disease 2019 (COVID-19) based on chest radiography (CXR), with reported accuracies often well over 90%. However...
Artificial Intelligence COVID-19 Humans Radiography Bias SARS-CoV-2 Deep Learning
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Application of Artificial Intelligence in Cardiovascular Imaging.

Journal of healthcare engineering Jan 12, 2022
During the last two decades, as computer technology has matured and business scenarios have diversified, the scale of application of computer systems in various industries has continued to expand, resulting in a huge increase in industry data. As for...
Image Processing, Computer-Assisted Radiography Artificial Intelligence Algorithms Humans Diagnostic Imaging Neural Networks, Computer
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Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization.

Journal of digital imaging Jan 11, 2022
Preparing radiology examinations for interpretation requires prefetching relevant prior examinations and implementing hanging protocols to optimally display the examination along with comparisons. Body part is a critical piece of information to facil...
Human Body Radiography Workflow Humans Artificial Intelligence Deep Learning
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Angular super-resolution in X-ray projection radiography using deep neural network: Implementation on rotational angiography.

Biomedical journal Jan 10, 2022
BACKGROUND: Rotational angiography acquires radiographs at multiple projection angles to demonstrate superimposed vasculature. However, this comes at the expense of the inherent risk of increased ionizing radiation. In this paper, building upon a suc...
X-Rays Radiography Angiography Neural Networks, Computer Image Processing, Computer-Assisted Humans
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Deep learning prediction of sex on chest radiographs: a potential contributor to biased algorithms.

Emergency radiology Jan 10, 2022
BACKGROUND: Deep convolutional neural networks (DCNNs) for diagnosis of disease on chest radiographs (CXR) have been shown to be biased against males or females if the datasets used to train them have unbalanced sex representation. Prior work has sug...
Humans Female Male Neural Networks, Computer Algorithms Radiologists Deep Learning Radiography
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Editorial comment to artificial intelligence X-ray measurement technology of anatomical parameters related to lumbosacral stability.

European journal of radiology Jan 7, 2022
Radiography Artificial Intelligence Humans X-Rays Musculoskeletal System Technology
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The concept of the invisible radiologist in the era of artificial intelligence.

European journal of radiology Jan 4, 2022
The radiologists were traditionally working in the background. What upgraded them as physicians during the second half of the past century was their clinical training and function precipitated by the evolution of Interventional Radiology and Medical ...
Teleradiology Artificial Intelligence Radiography Humans Radiologists Radiology, Interventional
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