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		<title>Machines That Watch and Listen: AI Reads Faces and Voices to Detect Depression</title>
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		<pubDate>Sat, 17 Oct 2026 18:26:24 +0000</pubDate>
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					<description><![CDATA[Psychiatry has always had a measurement problem. Unlike cardiology, where a stethoscope can pick up a murmur, or oncology, where imaging can reveal a tumor, mental health clinicians must rely largely on what patients say about their own inner states. Symptoms are subjective, interviews are inconsistent, and the scales used to quantify depression or anxiety depend on honest self-report. A new systematic review published in Neural Computing and Applications argues that this long-standing limitation is now being challenged by an unexpected set of tools: algorithms that listen to how people speak, watch how their faces move, and fuse both streams of data into objective computational evidence of psychiatric disorder.]]></description>
		
		
		
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