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	<title>CT scan automation &#8211; BIOENGINEER.ORG</title>
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		<title>CNN Automates CT Scoring for Sinus Imaging</title>
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		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Sun, 27 Apr 2025 20:59:54 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[AI in radiology]]></category>
		<category><![CDATA[chronic rhinosinusitis]]></category>
		<category><![CDATA[convolutional neural networks]]></category>
		<category><![CDATA[CT scan automation]]></category>
		<category><![CDATA[Lund-Mackay scoring]]></category>
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					<description><![CDATA[In a groundbreaking advance poised to transform diagnostic radiology, researchers have harnessed the power of convolutional neural networks (CNNs) to automate the scoring of computed tomography (CT) scans of the paranasal sinuses. This innovative approach promises to standardize and expedite the evaluation of chronic rhinosinusitis (CRS), a condition that affects millions worldwide and has long [&#8230;]]]></description>
		
		
		
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