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Radiographic Image Interpretation, Computer-Assisted

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Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers.

European radiology Mar 28, 2023
OBJECTIVES: To evaluate image quality, diagnostic acceptability, and lesion conspicuity in abdominal dual-energy CT (DECT) using deep learning image reconstruction (DLIR) compared to those using adaptive statistical iterative reconstruction-V (Asir-V...
Radiation Dosage Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Prospective Studies Humans Tomography, X-Ray Computed Algorithms
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A Characterization of Deep Learning Reconstruction Applied to Dual-Energy Computed Tomography Monochromatic and Material Basis Images.

Journal of computer assisted tomography Mar 22, 2023
OBJECTIVE: Advancements in computed tomography (CT) reconstruction have enabled image quality improvements and dose reductions. Previous advancements have included iterative and model-based reconstruction. The latest image reconstruction advancement ...
Quality Improvement Humans Deep Learning Radiation Dosage Image Processing, Computer-Assisted Phantoms, Imaging Algorithms Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed
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Application of Deep Learning-Based Denoising Technique for Radiation Dose Reduction in Dynamic Abdominal CT: Comparison with Standard-Dose CT Using Hybrid Iterative Reconstruction Method.

Journal of digital imaging Mar 21, 2023
The purpose is to evaluate whether deep learning-based denoising (DLD) algorithm provides sufficient image quality for abdominal computed tomography (CT) with a 30% reduction in radiation dose, compared to standard-dose CT reconstructed with conventi...
Humans Algorithms Radiation Dosage Tomography, X-Ray Computed Drug Tapering Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular carcinoma: prospective, randomized, double-blind study.

European radiology Mar 18, 2023
OBJECTIVE: To investigate the image quality and lesion conspicuity of a deep-learning-based contrast-boosting (DL-CB) algorithm on double-low-dose (DLD) CT of simultaneous reduction of radiation and contrast doses in participants at high-risk for hep...
Double-Blind Method Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Liver Neoplasms Carcinoma, Hepatocellular Contrast Media Prospective Studies Tomography, X-Ray Computed Deep Learning Humans Algorithms
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Deep Learning Prediction for Distal Aortic Remodeling After Thoracic Endovascular Aortic Repair in Stanford Type B Aortic Dissection.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists Mar 16, 2023
PURPOSE: This study aimed to develop a deep learning model for predicting distal aortic remodeling after proximal thoracic endovascular aortic repair (TEVAR) in patients with Stanford type B aortic dissection (TBAD) using computed tomography angiogra...
Retrospective Studies Female Humans Decision Support Techniques Aortography Endovascular Aneurysm Repair Treatment Outcome Endovascular Procedures Predictive Value of Tests Vascular Remodeling Risk Factors Deep Learning Male Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Aortic Aneurysm, Thoracic Aged Aorta, Thoracic Time Factors Middle Aged Adult Aortic Dissection Blood Vessel Prosthesis Implantation
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Preciseness of artificial intelligence for lateral cephalometric measurements.

Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie Mar 9, 2023
BACKGROUND: The aim of the study was to assess the accuracy and efficiency of a new artificial intelligence (AI) method in performing lateral cephalometric radiographic measurements.
Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Artificial Intelligence Software Algorithms Anatomic Landmarks Reproducibility of Results Humans Cephalometry Sensitivity and Specificity
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Autonomous Chest Radiograph Reporting Using AI: Estimation of Clinical Impact.

Radiology Mar 7, 2023
Background Automated interpretation of normal chest radiographs could alleviate the workload of radiologists. However, the performance of such an artificial intelligence (AI) tool compared with clinical radiology reports has not been established. Pur...
Artificial Intelligence Retrospective Studies Female Aged Humans Radiography, Thoracic Adult Radiologists Radiographic Image Interpretation, Computer-Assisted
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Comparison of Deep-Learning Image Reconstruction With Hybrid Iterative Reconstruction for Evaluating Lung Nodules With High-Resolution Computed Tomography.

Journal of computer assisted tomography Mar 3, 2023
OBJECTIVE: This study aimed to investigate the impact of deep-learning reconstruction (DLR) on the detailed evaluation of solitary lung nodule using high-resolution computed tomography (HRCT) compared with hybrid iterative reconstruction (hybrid IR).
Deep Learning Humans Image Processing, Computer-Assisted Algorithms Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Radiation Dosage Aged Male Aged, 80 and over Middle Aged Tomography, X-Ray Computed Lung Female
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[Possible Radiation Dose Reduction in Abdominal Plain CT Using Deep Learning Reconstruction].

Nihon Hoshasen Gijutsu Gakkai zasshi Mar 3, 2023
PURPOSE: The purposes of this study were to evaluate the low-contrast detectability of CT images assuming hepatocellular carcinoma and to determine whether dose reduction in abdominal plain CT imaging is possible.
Humans Algorithms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Deep Learning Radiation Dosage Liver Neoplasms Drug Tapering Carcinoma, Hepatocellular
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Computed Tomography of the Head : A Systematic Review on Acquisition and Reconstruction Techniques to Reduce Radiation Dose.

Clinical neuroradiology Mar 2, 2023
In 1971, the first computed tomography (CT) scan was performed on a patient's brain. Clinical CT systems were introduced in 1974 and dedicated to head imaging only. New technological developments, broader availability, and the clinical success of CT ...
Radiographic Image Interpretation, Computer-Assisted Humans Radiation Dosage Artificial Intelligence Tomography, X-Ray Computed Angiography Computed Tomography Angiography
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