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	<title>digital chest X-ray &#8211; BIOENGINEER.ORG</title>
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		<title>AI-Powered X-Ray Screening Proves Feasible for TB Detection in Manila&#8217;s Densest Districts</title>
		<link>https://bioengineer.org/ai-powered-x-ray-screening-proves-feasible-for-tb-detection-in-manilas-densest-districts/</link>
		
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		<pubDate>Fri, 09 Oct 2026 12:19:00 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[active case finding]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[computer-aided detection]]></category>
		<category><![CDATA[digital chest X-ray]]></category>
		<category><![CDATA[Digital Health]]></category>
		<category><![CDATA[Global health]]></category>
		<category><![CDATA[Manila]]></category>
		<category><![CDATA[Médecins Sans Frontières]]></category>
		<category><![CDATA[Philippines]]></category>
		<category><![CDATA[qualitative research]]></category>
		<category><![CDATA[screening]]></category>
		<category><![CDATA[Tuberculosis]]></category>
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					<description><![CDATA[A qualitative study of a Médecins Sans Frontières tuberculosis screening campaign in Tondo, Manila, finds that computer-aided detection on digital chest X-rays is feasible and acceptable when supported by staff training, careful system design, and community engagement.]]></description>
		
		
		
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