AIMC Topic: Radiology Information Systems

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Extracting clinical terms from radiology reports with deep learning.

Journal of biomedical informatics Mar 9, 2021
Extracting clinical terms from free-text format radiology reports is a first important step toward their secondary use. However, there is no general consensus on the kind of terms to be extracted. In this paper, we propose an information model compri...
Natural Language Processing Radiology Research Report Radiology Information Systems Tomography, X-Ray Computed Deep Learning
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RadLex Normalization in Radiology Reports.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Radiology reports have been widely used for extraction of various clinically significant information about patients' imaging studies. However, limited research has focused on standardizing the entities to a common radiology-specific vocabulary. Furth...
Vocabulary, Controlled Documentation Unified Medical Language System Radiology Information Systems Humans Diagnostic Imaging Radiology Deep Learning Natural Language Processing
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Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing.

Journal of digital imaging Aug 19, 2020
The ideal radiology report reduces diagnostic uncertainty, while avoiding ambiguity whenever possible. The purpose of this study was to characterize the use of uncertainty terms in radiology reports at a single institution and compare the use of thes...
Natural Language Processing Radiology Research Report Radiology Information Systems Humans Uncertainty
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Evaluating body composition by combining quantitative spectral detector computed tomography and deep learning-based image segmentation.

European journal of radiology Jul 12, 2020
PURPOSE: Aim of this study was to develop and evaluate a software toolkit, which allows for a fully automated body composition analysis in contrast enhanced abdominal computed tomography leveraging the strengths of both, quantitative information from...
Humans Intra-Abdominal Fat Subcutaneous Fat Middle Aged Deep Learning Image Processing, Computer-Assisted Linear Models Female Radiology Information Systems Muscle, Skeletal Reproducibility of Results Algorithms Body Composition Male Retrospective Studies Tomography, X-Ray Computed
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From Data to Value: How Artificial Intelligence Augments the Radiology Business to Create Value.

Seminars in musculoskeletal radiology Jan 28, 2020
The radiology practice has access to a wealth of data in the radiologist information system, dictation reports, and electronic health records. Although many artificial intelligence applications in radiology have focused on computer vision and the int...
Humans Artificial Intelligence Workflow Image Interpretation, Computer-Assisted Radiology Information Systems Electronic Health Records Diagnostic Imaging Radiology
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The Importance of Imaging Informatics and Informaticists in the Implementation of AI.

Academic radiology Oct 19, 2019
Imaging informatics is critical to the success of AI implementation in radiology. An imaging informaticist is a unique individual who sits at the intersection of clinical radiology, data science, and information technology. With the ability to unders...
Radiology Radiology Information Systems Artificial Intelligence Radiography
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Feasibility of Natural Language Processing-Assisted Auditing of Critical Findings in Chest Radiology.

Journal of the American College of Radiology : JACR Jun 21, 2019
OBJECTIVE: Time-sensitive communication of critical imaging findings like pneumothorax or pulmonary embolism to referring physicians is essential for patient safety. The definitive communication is the radiology free-text report. Quality assurance in...
Female Sensitivity and Specificity Male Natural Language Processing Feasibility Studies Pilot Projects United States Radiology Information Systems Quality Improvement Research Design Radiography, Thoracic Retrospective Studies Academic Medical Centers Tomography, X-Ray Computed Automation Humans Machine Learning
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Deep-Learning Language-Modeling Approach for Automated, Personalized, and Iterative Radiology-Pathology Correlation.

Journal of the American College of Radiology : JACR Jun 4, 2019
PURPOSE: Radiology-pathology correlation has long been foundational to continuing education, peer learning, quality assurance, and multidisciplinary patient care. The objective of this study was to determine whether modern deep-learning language-mode...
Pathology, Clinical Quality Improvement Automation Radiology Information Systems Artificial Intelligence Forecasting Databases, Factual Natural Language Processing Radiology Precision Medicine Deep Learning Humans
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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...
United States Diagnostic Imaging Image Interpretation, Computer-Assisted Adolescent Thyroid Gland Thyroid Nodule Radiology Information Systems Societies, Medical Female Aged, 80 and over Humans Reproducibility of Results Young Adult Artificial Intelligence Aged Adult Retrospective Studies Middle Aged Sensitivity and Specificity Risk Assessment Male
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Deep Belief CNN Feature Representation Based Content Based Image Retrieval for Medical Images.

Journal of medical systems May 8, 2019
Avascular Necrosis (AN) is a cause of muscular-skeletal disability. As it is common amongst the younger people, early intervention and prompt diagnosis is requisite. This disease normally affects the femoral bones, in order that the bones' shape gets...
Deep Learning Radiology Information Systems Diagnostic Imaging Osteonecrosis Information Storage and Retrieval Humans
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