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		<title>AI Reads Eye Scans: Machine Learning Spots Dangerous Orbital Tumors on MRI</title>
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		<pubDate>Wed, 07 Oct 2026 09:14:32 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[BMC Medical Imaging]]></category>
		<category><![CDATA[cancer imaging]]></category>
		<category><![CDATA[diagnostic accuracy]]></category>
		<category><![CDATA[external validation]]></category>
		<category><![CDATA[LASSO regression]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[MRI]]></category>
		<category><![CDATA[multilayer perceptron]]></category>
		<category><![CDATA[nomogram]]></category>
		<category><![CDATA[orbital tumors]]></category>
		<category><![CDATA[radiomics]]></category>
		<category><![CDATA[T2-weighted fat-suppressed imaging]]></category>
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					<description><![CDATA[A two-center study shows that an MRI-based radiomics nomogram using a multilayer perceptron classifier can distinguish malignant from benign orbital tumors with high internal accuracy and acceptable external generalizability.]]></description>
		
		
		
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