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		<title>AI reads brainwaves and speech together to flag suicide risk in clinical interviews</title>
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		<pubDate>Sun, 25 Oct 2026 07:39:48 +0000</pubDate>
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		<category><![CDATA[clinical interviews]]></category>
		<category><![CDATA[ClinicalBERT]]></category>
		<category><![CDATA[contrastive learning]]></category>
		<category><![CDATA[EEG]]></category>
		<category><![CDATA[explainability]]></category>
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		<category><![CDATA[Multimodal AI]]></category>
		<category><![CDATA[neuro-symbolic]]></category>
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		<category><![CDATA[psychiatric AI]]></category>
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					<description><![CDATA[A proof-of-concept study fused EEG recordings with clinical interview transcripts from 520 participants, achieving near-ceiling accuracy under controlled conditions while emphasizing that independent prospective validation is still required.]]></description>
		
		
		
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