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	<title>cardiac surgery outcomes &#8211; BIOENGINEER.ORG</title>
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		<title>Predictive Analytics Shape Cardiac Surgery Outcomes</title>
		<link>https://bioengineer.org/predictive-analytics-shape-cardiac-surgery-outcomes/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Sun, 23 Nov 2025 10:38:53 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[cardiac surgery outcomes]]></category>
		<category><![CDATA[clinical decision support **Kısa Açıklama:** İçeriğin ana teması (prediktif analitik)]]></category>
		<category><![CDATA[klinik uygulama alanı (kalp cerrahisi)]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[predictive analytics]]></category>
		<category><![CDATA[real-time patient monitoring]]></category>
		<category><![CDATA[teknolojik metodoloji (makine öğrenimi)]]></category>
		<category><![CDATA[yenilikçi yönü (gerçek zamanlı izleme) ve pratik ç]]></category>
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					<description><![CDATA[In an era where cardiovascular surgery remains a critical yet high-risk intervention, a groundbreaking study has emerged, harnessing the power of predictive analytics to transform our understanding of postoperative cardiac function and outcomes. Published in Pediatric Research on November 23, 2025, the research led by Miller, Kausch, and Spaeder introduces a novel approach that leverages [&#8230;]]]></description>
		
		
		
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