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		<title>Why Signal Quality Decides Whether AI Can Hear a Child&#8217;s Heart Murmur Correctly</title>
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		<pubDate>Thu, 15 Oct 2026 21:14:47 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[auscultation]]></category>
		<category><![CDATA[congenital heart disease]]></category>
		<category><![CDATA[digital stethoscope]]></category>
		<category><![CDATA[heart murmurs]]></category>
		<category><![CDATA[innocent murmurs]]></category>
		<category><![CDATA[low-resource settings]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[non-negative matrix factorisation]]></category>
		<category><![CDATA[pediatric cardiology]]></category>
		<category><![CDATA[signal denoising]]></category>
		<category><![CDATA[support vector machines]]></category>
		<category><![CDATA[Telemedicine]]></category>
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					<description><![CDATA[A new commentary argues that the accuracy of automated pediatric heart murmur detection depends less on machine learning classifiers than on the quality of the acoustic signal reaching them, with major implications for telemedicine in low-resource settings.]]></description>
		
		
		
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