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	<title>AI in Digital Pathology &#8211; BIOENGINEER.ORG</title>
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		<title>AI Models for Urothelial Neoplasm Classification Validated</title>
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		<pubDate>Sat, 25 Oct 2025 19:48:49 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AI in Digital Pathology]]></category>
		<category><![CDATA[Clinical Pathology Innovation]]></category>
		<category><![CDATA[deep learning diagnostics]]></category>
		<category><![CDATA[Multi-institutional AI Validation]]></category>
		<category><![CDATA[Urothelial Neoplasm Classification]]></category>
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					<description><![CDATA[In a groundbreaking study, researchers have unveiled the power of artificial intelligence in the realm of digital pathology. A consortium of institutions led by esteemed scientists including J.Y. Park, J. Kim, and Y.J. Kim has embarked on pioneering research aimed at improving the diagnosis and classification of urothelial neoplasms. This work, recently published in the [&#8230;]]]></description>
		
		
		
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