AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis.

Radiology Oct 19, 2021
Background Advances in computer processing and improvements in data availability have led to the development of machine learning (ML) techniques for mammographic imaging. Purpose To evaluate the reported performance of stand-alone ML applications for...
Female Sensitivity and Specificity Breast Neoplasms Mammography Radiographic Image Interpretation, Computer-Assisted Workflow Humans Machine Learning
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Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors.

BMC medical imaging Oct 19, 2021
BACKGROUND: Motion artifacts affect the images of coronary calcified plaques. This study utilized convolutional neural networks (CNNs) to classify the motion-contaminated images of moving coronary calcified plaques and to determine the influential fa...
Plaque, Atherosclerotic Phantoms, Imaging Tomography, X-Ray Computed Robotics Motion Radiographic Image Interpretation, Computer-Assisted Artifacts Coronary Artery Disease Radiation Dosage Neural Networks, Computer
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Can artificial intelligence replace ultrasound as a complementary tool to mammogram for the diagnosis of the breast cancer?

The British journal of radiology Oct 18, 2021
OBJECTIVE: To study the impact of artificial intelligence (AI) on the performance of mammogram with regard to the classification of the detected breast lesions in correlation to ultrasound-aided mammograms.
Humans Artificial Intelligence Prospective Studies Female Breast Reproducibility of Results Adult Middle Aged Breast Neoplasms Mammography Radiographic Image Interpretation, Computer-Assisted Ultrasonography, Mammary
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The feasibility of deep learning-based synthetic contrast-enhanced CT from nonenhanced CT in emergency department patients with acute abdominal pain.

Scientific reports Oct 14, 2021
Our objective was to investigate the feasibility of deep learning-based synthetic contrast-enhanced CT (DL-SCE-CT) from nonenhanced CT (NECT) in patients who visited the emergency department (ED) with acute abdominal pain (AAP). We trained an algorit...
Humans Algorithms Contrast Media Feasibility Studies Adult Tomography, X-Ray Computed Emergency Service, Hospital Acute Pain Male Female Abdominal Pain Middle Aged Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Deep Learning Aged
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Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT.

Radiology Oct 12, 2021
Background Evaluation of interstitial lung disease (ILD) at CT is a challenging task that requires experience and is subject to substantial interreader variability. Purpose To investigate whether a proposed content-based image retrieval (CBIR) of sim...
Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Male Middle Aged Lung Deep Learning Humans Tomography, X-Ray Computed Retrospective Studies Female Reproducibility of Results
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Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction.

BMC medical imaging Oct 10, 2021
BACKGROUND: Efforts to reduce the radiation dose have continued steadily, with new reconstruction techniques. Recently, image denoising algorithms using artificial neural networks, termed deep learning reconstruction (DLR), have been applied to CT im...
Child Contrast Media Radiographic Image Interpretation, Computer-Assisted Artifacts Infant Deep Learning Adolescent Child, Preschool Radiation Dosage Signal-To-Noise Ratio Radiography, Thoracic Radiography, Abdominal Humans Retrospective Studies Tomography, X-Ray Computed Female Male
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Detection of urinary tract calculi on CT images reconstructed with deep learning algorithms.

Abdominal radiology (New York) Oct 4, 2021
BACKGROUND: Deep learning Computed Tomography (CT) reconstruction (DLR) algorithms promise to improve image quality but the impact on clinical diagnostic performance remains to be demonstrated. We aimed to compare DLR to standard iterative reconstruc...
Radiographic Image Interpretation, Computer-Assisted Urinary Tract Radiation Dosage Urinary Calculi Male Deep Learning Adolescent Child Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Female Young Adult Adult
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Deep Learning-based Reconstruction for Lower-Dose Pediatric CT: Technical Principles, Image Characteristics, and Clinical Implementations.

Radiographics : a review publication of the Radiological Society of North America, Inc Oct 1, 2021
Optimizing the CT acquisition parameters to obtain diagnostic image quality at the lowest possible radiation dose is crucial in the radiosensitive pediatric population. The image quality of low-dose CT can be severely degraded by increased image nois...
Deep Learning Child Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed
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Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial.

Radiology Sep 28, 2021
Background Previous studies suggest that use of artificial intelligence (AI) algorithms as diagnostic aids may improve the quality of skeletal age assessment, though these studies lack evidence from clinical practice. Purpose To compare the accuracy ...
Adolescent Child, Preschool Child Humans Adult Radiologists Radiography Artificial Intelligence Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Prospective Studies Male Age Determination by Skeleton Female Infant Reproducibility of Results
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An Approach for Thoracic Syndrome Classification with Convolutional Neural Networks.

Computational and mathematical methods in medicine Sep 20, 2021
There have been remarkable changes in our lives and the way we perceive the world with advances in computing technology. Healthcare sector is evolving with the intervention of the latest computer-driven technology and has made a remarkable change in ...
Databases, Factual Radiography, Thoracic Humans Computational Biology Stochastic Processes Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Thoracic Diseases Machine Learning Syndrome
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