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	<title>deep learning in pediatrics &#8211; BIOENGINEER.ORG</title>
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		<title>Enhanced Brain Age Prediction in Young Children</title>
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		<pubDate>Tue, 23 Dec 2025 17:02:43 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[brain age prediction]]></category>
		<category><![CDATA[deep learning in pediatrics]]></category>
		<category><![CDATA[early neurodevelopmental intervention]]></category>
		<category><![CDATA[infant brain development]]></category>
		<category><![CDATA[myelination patterns]]></category>
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					<description><![CDATA[In a groundbreaking study published in Pediatric Radiology, researchers have unveiled a revolutionary deep learning model that dramatically enhances the accuracy of brain age prediction in infants under two years old. This innovative model harnesses myelination and attention mechanisms, optimizing the process of predicting developmental milestones in young children, thereby providing essential insights into their [&#8230;]]]></description>
		
		
		
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