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		<title>AI Listens for Coughs After Lung Surgery With Near-Perfect Accuracy</title>
		<link>https://bioengineer.org/ai-listens-for-coughs-after-lung-surgery-with-near-perfect-accuracy/</link>
		
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		<pubDate>Wed, 14 Oct 2026 13:26:40 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[audio signal processing]]></category>
		<category><![CDATA[Biomedical Engineering]]></category>
		<category><![CDATA[clinical AI]]></category>
		<category><![CDATA[convolutional neural networks]]></category>
		<category><![CDATA[cough classification]]></category>
		<category><![CDATA[cough monitoring]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[lung surgery]]></category>
		<category><![CDATA[MFCC]]></category>
		<category><![CDATA[patient monitoring]]></category>
		<category><![CDATA[postoperative care]]></category>
		<category><![CDATA[Tongji Hospital]]></category>
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					<description><![CDATA[Researchers in Wuhan developed a two-stage deep learning system that detects and classifies postoperative coughs from audio recordings of lung surgery patients with over 99 percent accuracy on clean data, while flagging noise robustness as the key hurdle before clinical deployment.]]></description>
		
		
		
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