AIMC Journal:
European radiology

Showing 481 to 490 of 629 articles

Identifying normal mammograms in a large screening population using artificial intelligence.

European radiology Sep 2, 2020
OBJECTIVES: To evaluate the potential of artificial intelligence (AI) to identify normal mammograms in a screening population.
Humans Breast Neoplasms Mass Screening Early Detection of Cancer Mammography Artificial Intelligence Prospective Studies Retrospective Studies
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Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CT.

European radiology Aug 28, 2020
OBJECTIVES: To develop a deep learning-based algorithm to detect aortic dissection (AD) and evaluate the diagnostic ability of the algorithm compared with those of radiologists.
Humans Radiologists Aortic Dissection Algorithms Tomography, X-Ray Computed Deep Learning
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Deep learning-based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals.

European radiology Aug 28, 2020
OBJECTIVES: Performance of deep learning-based automated detection (DLAD) algorithms in systematic screening for active pulmonary tuberculosis is unknown. We aimed to validate DLAD algorithm for detection of active pulmonary tuberculosis and any radi...
Humans Algorithms Radiography, Thoracic Deep Learning Young Adult Radiography Adult Tuberculosis, Pulmonary Sensitivity and Specificity
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Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow.

European radiology Aug 14, 2020
Humans Artificial Intelligence Radiology Workflow
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Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment.

European radiology Aug 7, 2020
OBJECTIVES: To simulate clinical deployment, evaluate performance, and establish quality assurance of a deep learning algorithm (U-Net) for detection, localization, and segmentation of clinically significant prostate cancer (sPC), ISUP grade group ≥ ...
Prostatic Neoplasms Image-Guided Biopsy Male Deep Learning Magnetic Resonance Imaging Humans Prospective Studies
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Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps.

European radiology Jul 23, 2020
OBJECTIVES: To evaluate short-term test-retest repeatability of a deep learning architecture (U-Net) in slice- and lesion-level detection and segmentation of clinically significant prostate cancer (csPCa: Gleason grade group > 1) using diffusion-weig...
Male Diffusion Magnetic Resonance Imaging Humans Deep Learning Neural Networks, Computer Prostatic Neoplasms Reproducibility of Results
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Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets.

European radiology Jul 22, 2020
OBJECTIVES: This study aimed at developing a convolutional neural network (CNN) able to automatically quantify and characterize the level of degeneration of rotator cuff (RC) muscles from shoulder CT images including muscle atrophy and fatty infiltra...
Rotator Cuff Rotator Cuff Injuries Shoulder Humans Muscular Atrophy Retrospective Studies Tomography, X-Ray Computed Deep Learning Adipose Tissue
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Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.

European radiology Jul 22, 2020
OBJECTIVE: To investigate the efficacy of contrast-enhanced computed tomography (CECT)-based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning.
Humans Image Processing, Computer-Assisted Machine Learning Area Under Curve ROC Curve Reproducibility of Results Male Retrospective Studies Adult Liver Neoplasms Aged Middle Aged Tomography, X-Ray Computed Sensitivity and Specificity Carcinoma, Hepatocellular Diagnosis, Computer-Assisted Female
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Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.

European radiology Jul 21, 2020
OBJECTIVES: To develop and validate a deep learning model to discriminate transient from persistent subsolid nodules (SSNs) on baseline CT.
Humans Female Reproducibility of Results Retrospective Studies Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiologists Aged Area Under Curve Lung Neoplasms Middle Aged Calibration Adult Solitary Pulmonary Nodule Radiology Lung Male Deep Learning
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Feed-forward neural networks using cerebral MR spectroscopy and DTI might predict neurodevelopmental outcome in preterm neonates.

European radiology Jul 18, 2020
OBJECTIVES: We aimed to evaluate the ability of feed-forward neural networks (fNNs) to predict the neurodevelopmental outcome (NDO) of very preterm neonates (VPIs) at 12 months corrected age by using biomarkers of cerebral MR proton spectroscopy (H-M...
Diffusion Tensor Imaging Infant, Premature, Diseases Infant, Premature Developmental Disabilities Magnetic Resonance Spectroscopy Infant, Newborn Sensitivity and Specificity Male Infant Predictive Value of Tests Image Interpretation, Computer-Assisted Brain Prognosis Female Humans Neural Networks, Computer Prospective Studies
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