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	<title>Deep learning in healthcare &#8211; BIOENGINEER.ORG</title>
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		<title>Harnessing AI Models for Colonoscopy Knowledge Extraction</title>
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		<pubDate>Wed, 15 Oct 2025 04:00:27 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[AI in colonoscopy]]></category>
		<category><![CDATA[Deep learning in healthcare]]></category>
		<category><![CDATA[EndoKED methodology]]></category>
		<category><![CDATA[Medical image annotation]]></category>
		<category><![CDATA[Polyp detection technology]]></category>
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					<description><![CDATA[In the realm of medical imaging, particularly in the field of colonoscopy, the integration of artificial intelligence (AI) is ushering in a new era of diagnostic prowess. Traditional methods of training AI systems typically hinge on the availability of expertly annotated image datasets, which are essential for guiding model learning and performance. However, the shortage [&#8230;]]]></description>
		
		
		
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