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		<title>AI Reviewers Match Human Experts in Landmark Scoping Review Test</title>
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		<pubDate>Thu, 15 Oct 2026 09:53:54 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[abstract screening]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Data extraction]]></category>
		<category><![CDATA[GPT-5]]></category>
		<category><![CDATA[gpt-oss-20b]]></category>
		<category><![CDATA[human digital twins]]></category>
		<category><![CDATA[interrater agreement]]></category>
		<category><![CDATA[Large Language Models]]></category>
		<category><![CDATA[medical literature]]></category>
		<category><![CDATA[research methodology]]></category>
		<category><![CDATA[scoping reviews]]></category>
		<category><![CDATA[systematic reviews]]></category>
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					<description><![CDATA[Artificial intelligence has been creeping into the machinery of science for years, but a new benchmark from Johns Hopkins researchers suggests the technology may finally be ready to take on one of academia's most tedious chores: the scoping review. In]]></description>
		
		
		
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