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		<title>AI Shows Promise for Newborn Lung Care, But Hospitals Aren&#8217;t Ready Yet</title>
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		<pubDate>Fri, 09 Oct 2026 13:45:09 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Bronchopulmonary dysplasia]]></category>
		<category><![CDATA[chest radiography]]></category>
		<category><![CDATA[continuous monitoring]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[Lung ultrasound]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[neonatal intensive care]]></category>
		<category><![CDATA[neonatology]]></category>
		<category><![CDATA[predictive models]]></category>
		<category><![CDATA[respiratory assessment]]></category>
		<category><![CDATA[scoping review]]></category>
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					<description><![CDATA[A new scoping review of 35 studies finds that artificial intelligence and digital technologies are transforming neonatal respiratory assessment through predictive models, imaging analysis, and continuous monitoring, but lack of external validation and standardization keeps them out of routine clinical use.]]></description>
		
		
		
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