AIMC Journal:
Radiology

Showing 191 to 200 of 374 articles

Detecting Prostate Cancer with Deep Learning for MRI: A Small Step Forward.

Radiology Oct 8, 2019
Magnetic Resonance Imaging Prostatic Neoplasms Humans Male Deep Learning
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Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment.

Radiology Oct 8, 2019
Background Men suspected of having clinically significant prostate cancer (sPC) increasingly undergo prostate MRI. The potential of deep learning to provide diagnostic support for human interpretation requires further evaluation. Purpose To compare t...
Predictive Value of Tests Prostatic Neoplasms Biopsy Middle Aged Deep Learning Magnetic Resonance Imaging Humans Retrospective Studies Aged Sensitivity and Specificity Male
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Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

Radiology Oct 1, 2019
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of M...
Humans Europe Radiology Radiologists Societies, Medical Artificial Intelligence Consensus Canada United States
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Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.

Radiology Sep 24, 2019
Although computer-aided diagnosis (CAD) is widely used in mammography, conventional CAD programs that use prompts to indicate potential cancers on the mammograms have not led to an improvement in diagnostic accuracy. Because of the advances in machin...
Humans Artificial Intelligence Machine Learning Risk Assessment Radiographic Image Enhancement Diagnosis, Computer-Assisted Algorithms Deep Learning Female Mammography Breast Neoplasms
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Detection of Hemodynamically Significant Coronary Stenosis: CT Myocardial Perfusion versus Machine Learning CT Fractional Flow Reserve.

Radiology Sep 24, 2019
Background Direct intraindividual comparison of dynamic CT myocardial perfusion imaging (MPI) and machine learning (ML)-based CT fractional flow reserve (FFR) has not been explored for diagnosing hemodynamically significant coronary artery disease. P...
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Middle Aged Severity of Illness Index Hemodynamics ROC Curve Adult Sensitivity and Specificity Male Humans Machine Learning Prospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over
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Identification of Vertebral Fractures by Convolutional Neural Networks to Predict Nonvertebral and Hip Fractures: A Registry-based Cohort Study of Dual X-ray Absorptiometry.

Radiology Sep 17, 2019
Background Detection of vertebral fractures (VFs) aids in management of osteoporosis and targeting of fracture prevention therapies. Purpose To determine whether convolutional neural networks (CNNs) can be trained to identify VFs at VF assessment (VF...
Aged Male Hip Fractures Absorptiometry, Photon Prognosis Retrospective Studies Female Spinal Fractures Osteoporotic Fractures Humans Neural Networks, Computer
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Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment.

Radiology Sep 17, 2019
Background Nonalcoholic fatty liver disease and its consequences are a growing public health concern requiring cross-sectional imaging for noninvasive diagnosis and quantification of liver fat. Purpose To investigate a deep learning-based automated l...
Tomography, X-Ray Computed Female Male Middle Aged Humans Retrospective Studies Radiography, Abdominal Prevalence Deep Learning Non-alcoholic Fatty Liver Disease
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Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study.

Radiology Aug 6, 2019
Background Visual and histogram-based assessments of coronary CT angiography have limited accuracy in the identification of advanced lesions. Radiomics-based machine learning (ML) could provide a more accurate tool. Purpose To compare the diagnostic ...
Middle Aged Coronary Angiography Humans Radiographic Image Interpretation, Computer-Assisted Machine Learning Plaque, Atherosclerotic Coronary Artery Disease Prospective Studies Computed Tomography Angiography Reproducibility of Results Male
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A Deep Learning Model to Triage Screening Mammograms: A Simulation Study.

Radiology Aug 6, 2019
Background Recent deep learning (DL) approaches have shown promise in improving sensitivity but have not addressed limitations in radiologist specificity or efficiency. Purpose To develop a DL model to triage a portion of mammograms as cancer free, i...
Triage Registries Breast Image Interpretation, Computer-Assisted Middle Aged Deep Learning Cohort Studies Mammography Aged, 80 and over Adult Computer Simulation Breast Neoplasms Retrospective Studies Humans Female Aged
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Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists.

Radiology Jul 9, 2019
BackgroundManagement of thyroid nodules may be inconsistent between different observers and time consuming for radiologists. An artificial intelligence system that uses deep learning may improve radiology workflow for management of thyroid nodules.Pu...
Deep Learning Thyroid Gland Ultrasonography Thyroid Nodule Humans Reproducibility of Results Image Interpretation, Computer-Assisted Retrospective Studies Sensitivity and Specificity Female Male Middle Aged
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