AIMC Journal:
Radiology

Showing 201 to 210 of 374 articles

Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning.

Radiology Jun 25, 2019
Background Coronary CT angiography contains prognostic information but the best method to extract these data remains unknown. Purpose To use machine learning to develop a model of vessel features to discriminate between patients with and without subs...
Aged Aged, 80 and over Young Adult Adult Machine Learning Female Reproducibility of Results Risk Factors Coronary Angiography Coronary Artery Disease Image Interpretation, Computer-Assisted Coronary Vessels Male Middle Aged Severity of Illness Index Predictive Value of Tests Humans Computed Tomography Angiography
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Can Artificial Intelligence Fix the Reproducibility Problem of Radiomics?

Radiology Jun 18, 2019
Reproducibility of Results Humans Deep Learning Artificial Intelligence Multiple Pulmonary Nodules Tomography, X-Ray Computed
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Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.

Radiology Jun 18, 2019
Background Intratumor heterogeneity in lung cancer may influence outcomes. CT radiomics seeks to assess tumor features to provide detailed imaging features. However, CT radiomic features vary according to the reconstruction kernel used for image gene...
Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Lung Neoplasms Male Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Middle Aged Lung Humans Deep Learning
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Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.

Radiology Jun 18, 2019
Background Computational models on the basis of deep neural networks are increasingly used to analyze health care data. However, the efficacy of traditional computational models in radiology is a matter of debate. Purpose To evaluate the accuracy and...
Retrospective Studies Electronic Health Records Female Reproducibility of Results Humans Mammography Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Breast Sensitivity and Specificity Breast Neoplasms Middle Aged Deep Learning
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Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.

Radiology May 21, 2019
Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial inte...
Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Image Interpretation, Computer-Assisted Sensitivity and Specificity Radiology Information Systems Societies, Medical Humans Thyroid Gland Artificial Intelligence Thyroid Nodule Male United States Middle Aged Diagnostic Imaging Risk Assessment Adolescent
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Assessing Cancer Risk from Mammograms: Deep Learning Is Superior to Conventional Risk Models.

Radiology May 7, 2019
Humans Breast Neoplasms Deep Learning Mammography Breast
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A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.

Radiology May 7, 2019
Background Mammographic density improves the accuracy of breast cancer risk models. However, the use of breast density is limited by subjective assessment, variation across radiologists, and restricted data. A mammography-based deep learning (DL) mod...
Breast Neoplasms Middle Aged Risk Assessment Deep Learning Mammography Radiographic Image Interpretation, Computer-Assisted Breast Humans Reproducibility of Results Retrospective Studies Aged Female Aged, 80 and over Adult
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Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI.

Radiology Apr 30, 2019
Background Renal impairment is common in patients with coronary artery disease and, if severe, late gadolinium enhancement (LGE) imaging for myocardial infarction (MI) evaluation cannot be performed. Purpose To develop a fully automatic framework for...
Aged Image Interpretation, Computer-Assisted Middle Aged Adult Magnetic Resonance Imaging, Cine Deep Learning Humans Chronic Disease Databases, Factual Myocardial Infarction Sensitivity and Specificity Retrospective Studies Male Female
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A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop.

Radiology Apr 16, 2019
Imaging research laboratories are rapidly creating machine learning systems that achieve expert human performance using open-source methods and tools. These artificial intelligence systems are being developed to improve medical image reconstruction, ...
Diagnostic Imaging Image Interpretation, Computer-Assisted Machine Learning Algorithms Humans Biomedical Research Artificial Intelligence
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Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma.

Radiology Mar 26, 2019
Background Nasopharyngeal carcinoma (NPC) may be cured with radiation therapy. Tumor proximity to critical structures demands accuracy in tumor delineation to avoid toxicities from radiation therapy; however, tumor target contouring for head and neck...
Middle Aged Female Humans Deep Learning Image Interpretation, Computer-Assisted Young Adult Algorithms Adolescent Retrospective Studies Nasopharyngeal Carcinoma Adult Magnetic Resonance Imaging Male Nasopharyngeal Neoplasms Nasopharynx
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