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	<title>first-contact screening &#8211; BIOENGINEER.ORG</title>
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		<title>AI Reads Brief Clinical Notes to Flag Suicide Risk, Sometimes Outperforming Specialists</title>
		<link>https://bioengineer.org/ai-reads-brief-clinical-notes-to-flag-suicide-risk-sometimes-outperforming-specialists/</link>
		
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		<pubDate>Fri, 16 Oct 2026 15:16:36 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[BETO]]></category>
		<category><![CDATA[Clinical decision support]]></category>
		<category><![CDATA[clinical notes]]></category>
		<category><![CDATA[data augmentation]]></category>
		<category><![CDATA[first-contact screening]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Mental Health]]></category>
		<category><![CDATA[Natural Language Processing]]></category>
		<category><![CDATA[Spanish language]]></category>
		<category><![CDATA[suicidal behavior detection]]></category>
		<category><![CDATA[support vector machine]]></category>
		<category><![CDATA[synthetic data]]></category>
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					<description><![CDATA[Researchers trained AI models on short Spanish first-contact clinical notes and found the algorithms detected suicidal behavior more accurately than human specialists working from the same limited text, suggesting a new frontier for early screening.]]></description>
		
		
		
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