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	<title>suprahyoid muscle &#8211; BIOENGINEER.ORG</title>
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	<title>suprahyoid muscle &#8211; BIOENGINEER.ORG</title>
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		<title>AI Reads Swallowing Muscles in Ultrasound to Grade Dysphagia Without the Guesswork</title>
		<link>https://bioengineer.org/ai-reads-swallowing-muscles-in-ultrasound-to-grade-dysphagia-without-the-guesswork/</link>
		
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		<pubDate>Wed, 07 Oct 2026 11:34:59 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[dysphagia]]></category>
		<category><![CDATA[Fast R-CNN]]></category>
		<category><![CDATA[Grad-CAM]]></category>
		<category><![CDATA[image segmentation]]></category>
		<category><![CDATA[mathematical modeling]]></category>
		<category><![CDATA[Medical Imaging]]></category>
		<category><![CDATA[neurogenic dysphagia]]></category>
		<category><![CDATA[scanline localization]]></category>
		<category><![CDATA[suprahyoid muscle]]></category>
		<category><![CDATA[U-Net]]></category>
		<category><![CDATA[ultrasound imaging]]></category>
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					<description><![CDATA[A South Korean team has combined U-Net segmentation, hyperbolic mathematical modeling, and Fast R-CNN classification to automate suprahyoid muscle ultrasound analysis, achieving near-expert accuracy and millisecond inference for objective dysphagia severity assessment.]]></description>
		
		
		
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