<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Cardiac Vascular Disease Archives - ECS International</title>
	<atom:link href="https://ecsii.com/category/cardiac-vascular-disease/feed/" rel="self" type="application/rss+xml" />
	<link>https://ecsii.com/category/cardiac-vascular-disease/</link>
	<description>ECS International, ECSII, Healthcare</description>
	<lastBuildDate>Fri, 18 Jun 2021 17:59:23 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9.4</generator>

<image>
	<url>https://ecsii.com/wp-content/uploads/2018/12/cropped-1-e14442028662682-32x32.png</url>
	<title>Cardiac Vascular Disease Archives - ECS International</title>
	<link>https://ecsii.com/category/cardiac-vascular-disease/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>The Global burden of Cardiovascular Disease in Women</title>
		<link>https://ecsii.com/the-lancet-women-and-cardiovascular-disease-commission-reducing-the-global-burden-by-2030/</link>
		
		<dc:creator><![CDATA[ed]]></dc:creator>
		<pubDate>Fri, 18 Jun 2021 17:37:56 +0000</pubDate>
				<category><![CDATA[Cardiac Vascular Disease]]></category>
		<category><![CDATA[Women's Health]]></category>
		<guid isPermaLink="false">https://ecsii.com/?p=3950</guid>

					<description><![CDATA[<p>Despite being responsible for causing 35% of deaths in women each year, cardiovascular disease (CVD) in women remains understudied, under-recognised, under-diagnosed, and under-treated, with women under-represented in clinical trials. To tackle these inequities 17 experts from 11 countries, led by Commission chairs Roxana Mehran, C. Noel Bairey Merz, Angela H.E.M. Maas, and Monica Acevedo have <a class="read-more-link" href="https://ecsii.com/the-lancet-women-and-cardiovascular-disease-commission-reducing-the-global-burden-by-2030/">Read More</a></p>
<p>The post <a href="https://ecsii.com/the-lancet-women-and-cardiovascular-disease-commission-reducing-the-global-burden-by-2030/">The Global burden of Cardiovascular Disease in Women</a> appeared first on <a href="https://ecsii.com">ECS International</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Detecting cancer and heart disease in a single low-dose CT scan with AI</title>
		<link>https://ecsii.com/detecting-cancer-and-heart-disease-in-a-single-low-dose-ct-scan-with-ai/</link>
		
		<dc:creator><![CDATA[ed]]></dc:creator>
		<pubDate>Tue, 15 Jun 2021 16:28:46 +0000</pubDate>
				<category><![CDATA[AI - Deep learning]]></category>
		<category><![CDATA[Cardiac Vascular Disease]]></category>
		<category><![CDATA[CT Scan]]></category>
		<guid isPermaLink="false">https://ecsii.com/?p=3936</guid>

					<description><![CDATA[<p>Clinicians at Massachusetts General Hospital and engineers at Rensselaer Polytechnic Institute have developed a deep learning algorithm capable of screening for cardiovascular disease risk and cancer from the same scan. Applied to low-dose CT, the AI solution is designed to expedite the diagnosis process, accelerate treatment and improve patient outcomes, while eliminating the need for <a class="read-more-link" href="https://ecsii.com/detecting-cancer-and-heart-disease-in-a-single-low-dose-ct-scan-with-ai/">Read More</a></p>
<p>The post <a href="https://ecsii.com/detecting-cancer-and-heart-disease-in-a-single-low-dose-ct-scan-with-ai/">Detecting cancer and heart disease in a single low-dose CT scan with AI</a> appeared first on <a href="https://ecsii.com">ECS International</a>.</p>
]]></description>
		
		
		
			</item>
	</channel>
</rss>
