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	<title>Dempster-Shafer theory &#8211; BIOENGINEER.ORG</title>
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	<title>Dempster-Shafer theory &#8211; BIOENGINEER.ORG</title>
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		<title>AI Combines Brain Scans and Clinical Data to Predict Stroke Recovery Outcomes</title>
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		<pubDate>Sun, 04 Oct 2026 12:34:34 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[acute ischemic stroke]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[BMC Medical Imaging]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[deep medullary veins]]></category>
		<category><![CDATA[Dempster-Shafer theory]]></category>
		<category><![CDATA[diffusion-weighted imaging]]></category>
		<category><![CDATA[generative adversarial network]]></category>
		<category><![CDATA[image segmentation]]></category>
		<category><![CDATA[modified Rankin Scale]]></category>
		<category><![CDATA[prognosis prediction]]></category>
		<category><![CDATA[susceptibility-weighted imaging]]></category>
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					<description><![CDATA[Researchers in China have developed an exploratory AI framework that combines DWI lesion features, SWI-derived deep medullary vein markers, and clinical metadata to predict ninety-day functional outcomes in acute ischemic stroke with 93.3 percent internal accuracy.]]></description>
		
		
		
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