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	<title>artificial intelligence healthcare applications &#8211; BIOENGINEER.ORG</title>
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		<title>Deep Learning Advances MRI Diagnosis of Brucella</title>
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		<pubDate>Sat, 02 Aug 2025 13:25:09 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[artificial intelligence healthcare applications]]></category>
		<category><![CDATA[Brucella spondylitis diagnosis]]></category>
		<category><![CDATA[deep learning in medical imaging]]></category>
		<category><![CDATA[MRI diagnostic advancements]]></category>
		<category><![CDATA[tuberculous spondylitis differentiation]]></category>
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					<description><![CDATA[In a groundbreaking advancement combining medical imaging and artificial intelligence, researchers have unveiled a powerful deep learning model capable of accurately distinguishing between Brucella spondylitis (BS) and tuberculous spondylitis (TS) using conventional magnetic resonance imaging (MRI). These two spinal infections, though clinically distinct in their treatment approaches, often pose significant diagnostic challenges due to overlapping [&#8230;]]]></description>
		
		
		
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