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	<title>electrocardiogram Archives - HIT Leaders and News</title>
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		<title>AI Model Developed by Brigham Researchers Could Help Screen for Heart Defect</title>
		<link>https://us.hitleaders.news/academic-research/40958/ai-model-developed-by-brigham-researchers-could-help-screen-for-heart-defect/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ai-model-developed-by-brigham-researchers-could-help-screen-for-heart-defect</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 22 Aug 2023 11:11:53 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Brigham and Women’s Hospital]]></category>
		<category><![CDATA[ECG]]></category>
		<category><![CDATA[electrocardiogram]]></category>
		<category><![CDATA[Heart Defect]]></category>
		<category><![CDATA[Mass General Brigham]]></category>
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					<description><![CDATA[<p>The AI model was more efficient at detecting signatures of atrial septal defect (ASD) in electrocardiograms (ECG) than traditional methods.</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/40958/ai-model-developed-by-brigham-researchers-could-help-screen-for-heart-defect/">AI Model Developed by Brigham Researchers Could Help Screen for Heart Defect</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>Mount Sinai Researchers Use New Deep Learning Approach to Enable Analysis of Electrocardiograms as Language</title>
		<link>https://us.hitleaders.news/academic-research/40603/mount-sinai-researchers-use-new-deep-learning-approach-to-enable-analysis-of-electrocardiograms-as-language/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=mount-sinai-researchers-use-new-deep-learning-approach-to-enable-analysis-of-electrocardiograms-as-language</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Wed, 07 Jun 2023 17:23:23 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[ChatGPT]]></category>
		<category><![CDATA[ECG]]></category>
		<category><![CDATA[electrocardiogram]]></category>
		<category><![CDATA[Mount Sinai]]></category>
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					<description><![CDATA[<p>Mount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language. This approach can enhance the accuracy and effectiveness of ECG-related diagnoses, especially for cardiac conditions where limited data is available on which to train.</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/40603/mount-sinai-researchers-use-new-deep-learning-approach-to-enable-analysis-of-electrocardiograms-as-language/">Mount Sinai Researchers Use New Deep Learning Approach to Enable Analysis of Electrocardiograms as Language</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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