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		<title>AI Reads Hidden Patterns in Lung CT Scans to Tell Harmless Nodules From Invasive Cancer</title>
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				<category><![CDATA[Health]]></category>
		<category><![CDATA[BMC Medical Imaging]]></category>
		<category><![CDATA[CT radiomics]]></category>
		<category><![CDATA[ground-glass nodule]]></category>
		<category><![CDATA[invasive adenocarcinoma]]></category>
		<category><![CDATA[LASSO]]></category>
		<category><![CDATA[lung adenocarcinoma]]></category>
		<category><![CDATA[lung cancer screening]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Medical Imaging]]></category>
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		<category><![CDATA[ResNet18]]></category>
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					<description><![CDATA[A Chinese research team used CT radiomics and machine learning to distinguish harmless ground-glass lung nodules from invasive adenocarcinoma with high accuracy, though external validation remains needed.]]></description>
		
		
		
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