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	<title>markerless pose estimation &#8211; BIOENGINEER.ORG</title>
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		<title>When Accurate Tracking Isn&#8217;t Enough: New Score Ranks AI Motion Systems by Biomarker Reliability</title>
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		<pubDate>Fri, 16 Oct 2026 19:04:18 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[convolutional neural networks]]></category>
		<category><![CDATA[DeepLabCut]]></category>
		<category><![CDATA[Kinematic Analysis]]></category>
		<category><![CDATA[markerless pose estimation]]></category>
		<category><![CDATA[Montoya staircase task]]></category>
		<category><![CDATA[motor biomarkers]]></category>
		<category><![CDATA[movement smoothness]]></category>
		<category><![CDATA[Neuroinformatics]]></category>
		<category><![CDATA[Normalized Jerk Score]]></category>
		<category><![CDATA[occlusion robustness]]></category>
		<category><![CDATA[temporal stability]]></category>
		<category><![CDATA[trajectory reliability]]></category>
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					<description><![CDATA[A new reliability-centred framework shows that frame-wise tracking accuracy alone fails to capture how faithfully AI pose estimation preserves downstream motor biomarkers in mice performing a skilled reaching task.]]></description>
		
		
		
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