AIMC Journal:
European radiology

Showing 461 to 470 of 621 articles

Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images.

European radiology Nov 25, 2020
OBJECTIVES: The high variability of hypertrophic cardiomyopathy (HCM) genetic phenotypes has prompted the establishment of risk-stratification systems that predict the risk of a positive genetic mutation based on clinical and echocardiographic profil...
Humans Female Male Middle Aged Adult Heart Cardiomyopathy, Hypertrophic Magnetic Resonance Imaging, Cine Deep Learning Mutation
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Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study.

European radiology Nov 23, 2020
OBJECTIVES: To evaluate the prediction performance of deep convolutional neural network (DCNN) based on ultrasound (US) images for the assessment of breast cancer molecular subtypes.
Ultrasonography Breast Neoplasms Retrospective Studies Humans Deep Learning Neural Networks, Computer
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Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation.

European radiology Nov 21, 2020
OBJECTIVE: The aim is to evaluate whether smart worklist prioritization by artificial intelligence (AI) can optimize the radiology workflow and reduce report turnaround times (RTATs) for critical findings in chest radiographs (CXRs). Furthermore, we ...
Workflow Neural Networks, Computer X-Rays Artificial Intelligence Radiography Humans
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Natural history of pathologically confirmed pulmonary subsolid nodules with deep learning-assisted nodule segmentation.

European radiology Nov 21, 2020
OBJECTIVE: To explore the natural history of pulmonary subsolid nodules (SSNs) with different pathological types by deep learning-assisted nodule segmentation.
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Deep Learning Lung Neoplasms Retrospective Studies Tomography, X-Ray Computed Humans
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Improvement of late gadolinium enhancement image quality using a deep learning-based reconstruction algorithm and its influence on myocardial scar quantification.

European radiology Nov 21, 2020
OBJECTIVES: The aim of this study was to assess the effect of a deep learning (DL)-based reconstruction algorithm on late gadolinium enhancement (LGE) image quality and to evaluate its influence on scar quantification.
Humans Male Deep Learning Contrast Media Algorithms Female Myocardium Gadolinium Image Enhancement Magnetic Resonance Imaging Cicatrix
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Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges.

European radiology Nov 19, 2020
Machine learning offers great opportunities to streamline and improve clinical care from the perspective of cardiac imagers, patients, and the industry and is a very active scientific research field. In light of these advances, the European Society o...
Societies, Medical Humans Machine Learning Algorithms Radiography Radiology
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Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid-enhanced MRI.

European radiology Nov 17, 2020
OBJECTIVES: To (1) develop a fully automated deep learning (DL) algorithm based on gadoxetic acid-enhanced hepatobiliary phase (HBP) MRI and (2) compare the diagnostic performance of DL vs. MR elastography (MRE) for noninvasive staging of liver fibro...
Retrospective Studies Middle Aged Deep Learning Humans Liver Liver Cirrhosis Magnetic Resonance Imaging Gadolinium DTPA Elasticity Imaging Techniques
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Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma.

European radiology Oct 31, 2020
OBJECTIVES: Deep learning-based automatic segmentation (DLAS) helps the reproducibility of radiomics features, but its effect on radiomics modeling is unknown. We therefore evaluated whether DLAS can robustly extract anatomical and physiological MRI ...
Magnetic Resonance Imaging Reproducibility of Results Perfusion Humans Deep Learning Glioblastoma Retrospective Studies
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An index based on deep learning-measured spleen volume on CT for the assessment of high-risk varix in B-viral compensated cirrhosis.

European radiology Oct 30, 2020
OBJECTIVES: Deep learning enables an automated liver and spleen volume measurements on CT. The purpose of this study was to develop an index combining liver and spleen volumes and clinical factors for detecting high-risk varices in B-viral compensate...
Liver Cirrhosis Humans Varicose Veins Predictive Value of Tests Retrospective Studies Spleen Tomography, X-Ray Computed Esophageal and Gastric Varices Deep Learning Herpesvirus 1, Cercopithecine
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Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs.

European radiology Oct 30, 2020
OBJECTIVES: To develop and validate a preoperative CT-based deep learning model for the prediction of visceral pleural invasion (VPI) in early-stage lung cancer.
Deep Learning Tomography, X-Ray Computed Lung Neoplasms Humans Radiologists Sensitivity and Specificity Retrospective Studies
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