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	<title>Mass General Brigham Archives - HIT Leaders and News</title>
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	<description>Healthcare Innovations and technology news and views</description>
	<lastBuildDate>Mon, 15 Dec 2025 17:34:24 +0000</lastBuildDate>
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		<title>AI Trial Screening Shifts the Bottlenecks</title>
		<link>https://us.hitleaders.news/core-categories/ai-machine-learning/artificial-intelligence/49898/ai-trial-screening-shifts-the-bottlenecks/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ai-trial-screening-shifts-the-bottlenecks</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 15 Dec 2025 17:34:24 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[AIwithCare]]></category>
		<category><![CDATA[Mass General Brigham]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49898</guid>

					<description><![CDATA[<p>The announcement that Mass General Brigham has spun out AIwithCare to commercialize a retrieval-augmented screening platform signals something more consequential than another hospital-built analytics tool. Clinical trial enrollment remains one of the most stubborn constraints on biomedical progress, and it has stayed stubborn despite decades of site networks, CRO scale, and patient-facing marketing. When a health system treats prescreening as software infrastructure instead of coordinator labor, the bottleneck does not disappear. It relocates into governance, data quality, and accountability.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/ai-machine-learning/artificial-intelligence/49898/ai-trial-screening-shifts-the-bottlenecks/">AI Trial Screening Shifts the Bottlenecks</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>Mass General Brigham and IBM Collaborate on New AI Project To Address the Effects of Extreme Heat on Vulnerable Populations</title>
		<link>https://us.hitleaders.news/core-categories/ai-machine-learning/46939/mass-general-brigham-and-ibm-collaborate-on-new-ai-project-to-address-the-effects-of-extreme-heat-on-vulnerable-populations/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=mass-general-brigham-and-ibm-collaborate-on-new-ai-project-to-address-the-effects-of-extreme-heat-on-vulnerable-populations</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Thu, 13 Feb 2025 12:11:33 +0000</pubDate>
				<category><![CDATA[AI/Machine Learning]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[IBM]]></category>
		<category><![CDATA[Mass General Brigham]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=46939</guid>

					<description><![CDATA[<p>Mass General Brigham and IBM announced a new collaboration through the IBM Sustainability Accelerator, aimed at scaling up innovative action in cities around the world, in alignment with United Nations Sustainable Development Goal (SDG) 11. Together, Mass General Brigham and IBM will develop an AI tool for healthcare systems and community health centers confronting health risks from extreme heat.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/ai-machine-learning/46939/mass-general-brigham-and-ibm-collaborate-on-new-ai-project-to-address-the-effects-of-extreme-heat-on-vulnerable-populations/">Mass General Brigham and IBM Collaborate on New AI Project To Address the Effects of Extreme Heat on Vulnerable Populations</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>Brigham Researchers Use Machine Learning to Improve Cardiovascular Risk Assessment</title>
		<link>https://us.hitleaders.news/academic-research/46246/brigham-researchers-use-machine-learning-to-improve-cardiovascular-risk-assessment/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=brigham-researchers-use-machine-learning-to-improve-cardiovascular-risk-assessment</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Wed, 02 Oct 2024 12:36:28 +0000</pubDate>
				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[Cardiovascular Risk Assessment]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Mass General Brigham]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=46246</guid>

					<description><![CDATA[<p>A transparent AI approach recalibrated the new PREVENT equations to provide a more tailored cardiovascular risk assessment in a local population</p>
<p>The post <a href="https://us.hitleaders.news/academic-research/46246/brigham-researchers-use-machine-learning-to-improve-cardiovascular-risk-assessment/">Brigham Researchers Use Machine Learning to Improve Cardiovascular Risk Assessment</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>Mass General Brigham Receives $4.6M Grant to Study Short-Term Rehab at Home</title>
		<link>https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/44524/mass-general-brigham-receives-4-6m-grant-to-study-short-term-rehab-at-home/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=mass-general-brigham-receives-4-6m-grant-to-study-short-term-rehab-at-home</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 13 Aug 2024 11:52:32 +0000</pubDate>
				<category><![CDATA[Editor's Picks & Featured Content]]></category>
		<category><![CDATA[EOHHS]]></category>
		<category><![CDATA[Mass General Brigham]]></category>
		<category><![CDATA[Massachusetts Executive Office of Health and Human Services]]></category>
		<category><![CDATA[Short-Term Rehab]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=44524</guid>

					<description><![CDATA[<p>The Massachusetts Executive Office of Health and Human Services (EOHHS) has awarded $4.6 million to Mass General Brigham to evaluate the delivery of short-term rehab care at home.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/44524/mass-general-brigham-receives-4-6m-grant-to-study-short-term-rehab-at-home/">Mass General Brigham Receives $4.6M Grant to Study Short-Term Rehab at Home</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<title>PET Scans Reveal &#8216;Smoldering&#8217; Inflammation in Patients with Multiple Sclerosis</title>
		<link>https://us.hitleaders.news/imaging/42649/pet-scans-reveal-smoldering-inflammation-in-patients-with-multiple-sclerosis/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=pet-scans-reveal-smoldering-inflammation-in-patients-with-multiple-sclerosis</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Thu, 02 May 2024 13:15:46 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[Brigham and Women’s Hospital]]></category>
		<category><![CDATA[Mass General Brigham]]></category>
		<category><![CDATA[multiple sclerosis]]></category>
		<category><![CDATA[PET]]></category>
		<category><![CDATA[positron emission tomography]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=42649</guid>

					<description><![CDATA[<p>A new study from Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system, suggests positron emission tomography (PET) brain scans could reveal hidden inflammation in patients with multiple sclerosis (MS) who are being treated with highly-effective treatments. The findings were published in Clinical Nuclear Medicine.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/42649/pet-scans-reveal-smoldering-inflammation-in-patients-with-multiple-sclerosis/">PET Scans Reveal &#8216;Smoldering&#8217; Inflammation in Patients with Multiple Sclerosis</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<item>
		<title>Privacy Incident at Brigham and Women&#8217;s Hospital</title>
		<link>https://us.hitleaders.news/core-categories/cybersecurity-and-privacy/42513/privacy-incident-at-brigham-and-womens-hospital-2/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=privacy-incident-at-brigham-and-womens-hospital-2</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 01 Apr 2024 13:15:13 +0000</pubDate>
				<category><![CDATA[Cybersecurity & Privacy]]></category>
		<category><![CDATA[Brigham and Women’s Physician Organization]]></category>
		<category><![CDATA[cybersecurity]]></category>
		<category><![CDATA[Harvard Pilgrim Health Care Institute]]></category>
		<category><![CDATA[Mass General Brigham]]></category>
		<category><![CDATA[ransomware]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=42513</guid>

					<description><![CDATA[<p>Brigham and Women’s Physician Organization, (“BWPO”), a member of Mass General Brigham Incorporated (MGB) is notifying individuals of an incident it recently became aware of involving some patients’ personal information.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/cybersecurity-and-privacy/42513/privacy-incident-at-brigham-and-womens-hospital-2/">Privacy Incident at Brigham and Women&#8217;s Hospital</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>GE HealthCare and Mass General Brigham Evolve Their AI Collaboration with Medical Imaging Foundation Models</title>
		<link>https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/42429/ge-healthcare-and-mass-general-brigham-evolve-their-ai-collaboration-with-medical-imaging-foundation-models/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ge-healthcare-and-mass-general-brigham-evolve-their-ai-collaboration-with-medical-imaging-foundation-models</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 18 Mar 2024 13:50:45 +0000</pubDate>
				<category><![CDATA[Editor's Picks & Featured Content]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[GE Healthcare]]></category>
		<category><![CDATA[Mass General Brigham]]></category>
		<category><![CDATA[Medical Imaging]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=42429</guid>

					<description><![CDATA[<p>Based on its long-term artificial intelligence (AI) partnership, GE HealthCare and Mass General Brigham plan to integrate medical imaging foundation models into their AI research work, with a strong focus on responsible AI practices.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/42429/ge-healthcare-and-mass-general-brigham-evolve-their-ai-collaboration-with-medical-imaging-foundation-models/">GE HealthCare and Mass General Brigham Evolve Their AI Collaboration with Medical Imaging Foundation Models</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>Best Buy Health and Mass General Brigham Collaborate to Meet Patients’ Growing Healthcare at Home Needs</title>
		<link>https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/41559/best-buy-health-and-mass-general-brigham-collaborate-to-meet-patients-growing-healthcare-at-home-needs/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=best-buy-health-and-mass-general-brigham-collaborate-to-meet-patients-growing-healthcare-at-home-needs</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 14 Nov 2023 14:19:17 +0000</pubDate>
				<category><![CDATA[Editor's Picks & Featured Content]]></category>
		<category><![CDATA[acute home-based care]]></category>
		<category><![CDATA[Best Buy Health]]></category>
		<category><![CDATA[Mass General Brigham]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=41559</guid>

					<description><![CDATA[<p>Best Buy Health and Mass General Brigham are collaborating to support a new model of healthcare delivery that serves patients where they want to be — at home.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/41559/best-buy-health-and-mass-general-brigham-collaborate-to-meet-patients-growing-healthcare-at-home-needs/">Best Buy Health and Mass General Brigham Collaborate to Meet Patients’ Growing Healthcare at Home Needs</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>GE HealthCare and Mass General Brigham Collaborate on an AI Algorithm to Predict Missed Care Opportunities</title>
		<link>https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/41115/ge-healthcare-and-mass-general-brigham-collaborate-on-an-ai-algorithm-to-predict-missed-care-opportunities/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ge-healthcare-and-mass-general-brigham-collaborate-on-an-ai-algorithm-to-predict-missed-care-opportunities</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 12 Sep 2023 12:08:35 +0000</pubDate>
				<category><![CDATA[Editor's Picks & Featured Content]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[GE Healthcare]]></category>
		<category><![CDATA[Mass General Brigham]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=41115</guid>

					<description><![CDATA[<p>GE HealthCare and Mass General Brigham announced, as part of its initial collaboration, the co-development of an artificial intelligence (AI) algorithm that will help increase operations effectiveness and productivity.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/41115/ge-healthcare-and-mass-general-brigham-collaborate-on-an-ai-algorithm-to-predict-missed-care-opportunities/">GE HealthCare and Mass General Brigham Collaborate on an AI Algorithm to Predict Missed Care Opportunities</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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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>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=40958</guid>

					<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>
]]></description>
		
		
		
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