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Radiology

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An Ontology-Based Approach to Estimate the Frequency of Rare Diseases in Narrative-Text Radiology Reports.

Studies in health technology and informatics
This study sought to use ontology-based knowledge to identify patients with rare diseases and to estimate the frequency of those diseases in a large database of radiology reports. Natural language processing methods were applied to 12,377,743 narrari...

Deep Learning: A Primer for Radiologists.

Radiographics : a review publication of the Radiological Society of North America, Inc
Deep learning is a class of machine learning methods that are gaining success and attracting interest in many domains, including computer vision, speech recognition, natural language processing, and playing games. Deep learning methods produce a mapp...

The Diagnostic Imagination in Radiology: Part 1.

Radiology management
*Machines that dream, the restless impulse for technical change that has marked radiology from its beginning and forays into deep neural networks, will no doubt unsettle long-held institu- tional practices in radiology. *A willingness to collaborate ...

Natural Language Processing in Radiology: A Systematic Review.

Radiology
Radiological reporting has generated large quantities of digital content within the electronic health record, which is potentially a valuable source of information for improving clinical care and supporting research. Although radiology reports are st...

Natural Language Processing Technologies in Radiology Research and Clinical Applications.

Radiographics : a review publication of the Radiological Society of North America, Inc
The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. However, ther...