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	<title>Pediatrik radyoloji &#8211; BIOENGINEER.ORG</title>
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	<title>Pediatrik radyoloji &#8211; BIOENGINEER.ORG</title>
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		<title>New Index Enhances Measurement of Femoral Head Extrusion</title>
		<link>https://bioengineer.org/new-index-enhances-measurement-of-femoral-head-extrusion/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 22 Jan 2026 16:01:44 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[Femoral baş ekstrüzyon ölçümü]]></category>
		<category><![CDATA[femoral head extrusion]]></category>
		<category><![CDATA[İşte bu yazı için 5 uygun Türkçe etiket (virgülle ayrılmış): **Radyografik Metaphyseal Migration Index (RMMI)]]></category>
		<category><![CDATA[measurement standardization]]></category>
		<category><![CDATA[orthopedic assessment]]></category>
		<category><![CDATA[Ortopedik değerlendirme]]></category>
		<category><![CDATA[pediatric radiology]]></category>
		<category><![CDATA[Pediatrik radyoloji]]></category>
		<category><![CDATA[Radiographic Metaphyseal Migration Index]]></category>
		<category><![CDATA[Tanı doğruluğu** **Açıklama:** 1. **]]></category>
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					<description><![CDATA[A significant advancement in pediatric radiology recently came to light with the introduction of the Radiographic Metaphyseal Migration Index (RMMI). This innovative metric aims to enhance the precision involved in measuring femoral head extrusion among preschool children, a crucial factor in the diagnosis and management of various pediatric orthopedic conditions. Traditional methods of quantifying this [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">319344</post-id>	</item>
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		<title>AI Software for Pediatric Fracture Detection: A Comparison</title>
		<link>https://bioengineer.org/ai-software-for-pediatric-fracture-detection-a-comparison/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 18 Nov 2025 12:51:45 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[Derin öğrenme]]></category>
		<category><![CDATA[Otomatik kırık tespiti]]></category>
		<category><![CDATA[Pediatrik radyoloji]]></category>
		<category><![CDATA[Tıbbi tanı doğruluğu]]></category>
		<category><![CDATA[Yapay zeka karşılaştırması]]></category>
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					<description><![CDATA[In an age where technology continues to transform healthcare, the integration of artificial intelligence (AI) into medical diagnostics stands out as a particularly revolutionary development. The latest research, led by a team of scientists including Altmann-Schneider, Geiger, and Kellenberger, examines the efficacy of multiple AI software applications aimed at automating fracture detection in pediatric patients. [&#8230;]]]></description>
		
		
		
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