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	<title>InfEHR Archives - HIT Leaders and News</title>
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		<title>Mount Sinai: AI That Asks Its Own Questions Could Transform Clinical Diagnostics</title>
		<link>https://us.hitleaders.news/academic-research/49781/mount-sinai-ai-that-asks-its-own-questions-could-transform-clinical-diagnostics/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=mount-sinai-ai-that-asks-its-own-questions-could-transform-clinical-diagnostics</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 20 Oct 2025 10:11:41 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[Icahn School of Medicine at Mount Sinai]]></category>
		<category><![CDATA[InfEHR]]></category>
		<category><![CDATA[Mount Sinai]]></category>
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					<description><![CDATA[<p>Artificial intelligence in health care is often discussed in terms of automation and pattern recognition, but a new system developed at the Icahn School of Medicine at Mount Sinai signals a more profound shift: AI that can tailor its diagnostic reasoning to individual patients and recognize when it lacks enough information to proceed. The system, called InfEHR, challenges traditional models of clinical support by operating not just as a predictor, but as a dynamic inference engine.</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/49781/mount-sinai-ai-that-asks-its-own-questions-could-transform-clinical-diagnostics/">Mount Sinai: AI That Asks Its Own Questions Could Transform Clinical Diagnostics</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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