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		<title>Eye Gaze and Attention Patterns Power a New AI Screen for Autism in Indian Children</title>
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				<category><![CDATA[Technology]]></category>
		<category><![CDATA[ASD screening]]></category>
		<category><![CDATA[attention measurement]]></category>
		<category><![CDATA[autism spectrum disorder]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[ConvNeXt]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[eye gaze]]></category>
		<category><![CDATA[HOG]]></category>
		<category><![CDATA[Indian children]]></category>
		<category><![CDATA[LightGBM]]></category>
		<category><![CDATA[multimodal classification]]></category>
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					<description><![CDATA[A deep learning model analyzing eye positioning and video-based attention achieved over 97% accuracy in distinguishing autistic from non-autistic children in a small Indian dataset.]]></description>
		
		
		
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