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<oembed><version>1.0</version><provider_name>Department of Radiology</provider_name><provider_url>https://www.med.unc.edu/radiology</provider_url><author_name>Bradley Olson</author_name><author_url>https://www.med.unc.edu/radiology/author/bradley-olson/</author_url><title>Imaging Analysis, Techniques, &amp; AI - Department of Radiology</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="CPJY6aXJx7"&gt;&lt;a href="https://www.med.unc.edu/radiology/research/radiological-sciences/imaging-analysis-techniques-ai/"&gt;Imaging Analysis, Techniques, &amp; AI&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.med.unc.edu/radiology/research/radiological-sciences/imaging-analysis-techniques-ai/embed/#?secret=CPJY6aXJx7" width="600" height="338" title="&#x201C;Imaging Analysis, Techniques, &amp; AI&#x201D; &#x2014; Department of Radiology" data-secret="CPJY6aXJx7" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>Research in radiological sciences, particularly in the areas of imaging analysis, techniques, and artificial intelligence (AI), is dynamic and continuously evolving. Numerous studies and developments are contributing to advancements in the field. Here are some key areas of research: Deep Learning and Convolutional Neural Networks (CNNs): Researchers are exploring the application of deep learning techniques, &hellip; Read more</description></oembed>
