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		<title>AI Reads the Microscope: Deep Learning Powers Parasite Diagnosis, But Real-World Tests Lag Behind</title>
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		<pubDate>Thu, 08 Oct 2026 20:26:57 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[clinical validation]]></category>
		<category><![CDATA[convolutional neural networks]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[diagnostic AI]]></category>
		<category><![CDATA[image classification]]></category>
		<category><![CDATA[image segmentation]]></category>
		<category><![CDATA[malaria]]></category>
		<category><![CDATA[microscopy]]></category>
		<category><![CDATA[neglected tropical diseases]]></category>
		<category><![CDATA[object detection]]></category>
		<category><![CDATA[Parasitology]]></category>
		<category><![CDATA[scoping review]]></category>
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					<description><![CDATA[A scoping review of 118 studies finds that deep learning models excel at detecting parasites in microscopy images under experimental conditions, but very few have been validated or deployed in real clinical laboratories.]]></description>
		
		
		
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