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		<title>AI Reads Preoperative Endoscopic Biopsies to Gauge Lymph Node Spread in Early Gastric Cancer</title>
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				<category><![CDATA[Health]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Clinical decision support]]></category>
		<category><![CDATA[computational pathology]]></category>
		<category><![CDATA[curriculum learning]]></category>
		<category><![CDATA[Early gastric cancer]]></category>
		<category><![CDATA[endoscopic biopsy]]></category>
		<category><![CDATA[lymph node metastasis]]></category>
		<category><![CDATA[multiple instance learning]]></category>
		<category><![CDATA[Prov-GigaPath]]></category>
		<category><![CDATA[tertiary lymphoid structures]]></category>
		<category><![CDATA[Transformer]]></category>
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					<description><![CDATA[A multimodal transformer-based AI framework achieved an AUC of 0.727 on preoperative endoscopic biopsy slides for predicting lymph node metastasis in T1 early gastric cancer, outperforming baseline models in a retrospective single-center study.]]></description>
		
		
		
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