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	<title>medicolegal impact &#8211; BIOENGINEER.ORG</title>
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	<title>medicolegal impact &#8211; BIOENGINEER.ORG</title>
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		<title>AI’s Diagnostic Accuracy for High-Risk Pediatric Fractures</title>
		<link>https://bioengineer.org/ais-diagnostic-accuracy-for-high-risk-pediatric-fractures/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 12 Nov 2025 10:11:35 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[adli tıbbi etkiler) temsil eden etiketler seçildi.]]></category>
		<category><![CDATA[AI diagnostic accuracy]]></category>
		<category><![CDATA[çocuk kırıkları) ve **benzersiz açıları** (küçük lezyon tespiti]]></category>
		<category><![CDATA[medicolegal impact]]></category>
		<category><![CDATA[pediatric fracture detection]]></category>
		<category><![CDATA[radiology innovations *Analiz*: - **Anahtar odakları** (AI teşhis doğruluğu]]></category>
		<category><![CDATA[small lesion identification]]></category>
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					<description><![CDATA[In an era where artificial intelligence (AI) is revolutionizing various sectors, the medical field, particularly radiology, is no exception. Recent studies underscore the potential of AI technologies in improving diagnostic accuracy, especially for pediatric fractures. A groundbreaking study conducted by a team of researchers led by Pape, Deffaa, and Zimmermann, has shed light on how [&#8230;]]]></description>
		
		
		
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