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	<title>conference &#8211; Digital Health Bonn</title>
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	<description>Working Group &#34;Personalized Digital Health and Telemedicine&#34;</description>
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	<title>conference &#8211; Digital Health Bonn</title>
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		<title>Panel “AI for Health and Health for AI”</title>
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		<dc:creator><![CDATA[Björn Krüger]]></dc:creator>
		<pubDate>Tue, 28 Oct 2025 10:52:00 +0000</pubDate>
				<category><![CDATA[Allgemein]]></category>
		<category><![CDATA[conference]]></category>
		<category><![CDATA[digital health]]></category>
		<category><![CDATA[epilepsy]]></category>
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					<description><![CDATA[Prof. Björn Krüger was invited to participate in the panel “AI for Health and Health for AI” at the University of Saskatchewan. In his talk, “AI for Health: From Targeted Algorithms to Real-Life Impact,” he presented current research from the [&#8230;]]]></description>
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<p>Prof. Björn Krüger was invited to participate in the panel <em>“AI for Health and Health for AI”</em> at the University of Saskatchewan. In his talk, <strong>“AI for Health: From Targeted Algorithms to Real-Life Impact,”</strong> he presented current research from the Department of Epileptology at the University Hospital Bonn, where his group develops AI models to understand human motion and cognition in real-world healthcare contexts.</p>



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<p>His contribution highlighted ongoing projects ranging from wearable-based motion analysis—using lightweight models for activity and emotion recognition—to eye-tracking studies in epilepsy that investigate how cognitive changes and medication side effects manifest in eye movements.</p>



<p>The event offered a valuable opportunity for exchange with fellow panelists <strong>Stephen Lee</strong> (College of Medicine, University of Saskatchewan) and <strong>Raymond Ng</strong> (Data Science Institute / AI &amp; Health Network, University of British Columbia) and <strong>Daniel Fuller</strong> (University of Saskatchewan) who did an excellent job in moderation and organization.</p>



<p>The discussion underscored a central theme of his work: <strong>AI in healthcare is not only about accuracy—its true impact lies in improving quality of life, supporting clinicians, and empowering patients.</strong></p>
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