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	<title>Imaging Archives - HIT Leaders and News</title>
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	<description>Healthcare Innovations and technology news and views</description>
	<lastBuildDate>Mon, 16 Feb 2026 16:24:18 +0000</lastBuildDate>
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		<title>Surgery Can Now Start in the Scanner</title>
		<link>https://us.hitleaders.news/imaging/49979/surgery-can-now-start-in-the-scanner/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=surgery-can-now-start-in-the-scanner</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 16 Feb 2026 16:24:18 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[3D Slicer]]></category>
		<category><![CDATA[CT]]></category>
		<category><![CDATA[Echocardiography]]></category>
		<category><![CDATA[MRI]]></category>
		<category><![CDATA[Radiological Society of North America]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49979</guid>

					<description><![CDATA[<p>A common frustration in congenital cardiology is that the most consequential decisions still depend on piecing together partial views. Echocardiography excels at real-time valve motion but can be constrained by acoustic windows and angle dependence. CT provides crisp anatomy but cannot directly visualize flow and brings ionizing radiation into a population likely to need repeated imaging across a lifetime. Cardiac MRI can measure flow and tissue without radiation, yet clinical teams have often had to choose between images that show structure well and images that show hemodynamics well.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49979/surgery-can-now-start-in-the-scanner/">Surgery Can Now Start in the Scanner</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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			</item>
		<item>
		<title>Photon-Counting CT Signals the Future of Lung Cancer Imaging</title>
		<link>https://us.hitleaders.news/imaging/49964/photon-counting-ct-signals-the-future-of-lung-cancer-imaging/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=photon-counting-ct-signals-the-future-of-lung-cancer-imaging</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Thu, 05 Feb 2026 14:55:09 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[PCCT]]></category>
		<category><![CDATA[photon-counting computed tomography]]></category>
		<category><![CDATA[Radiological Society of North America]]></category>
		<category><![CDATA[RSNA]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49964</guid>

					<description><![CDATA[<p>A growing body of evidence suggests that photon-counting computed tomography (PCCT) may soon eclipse conventional CT as the standard imaging modality in lung cancer management. In a newly published prospective study of 200 adults, photon-counting CT was found to significantly reduce radiation exposure and contrast-related risks while delivering higher image quality and superior detection of malignant features compared to traditional CT systems. The findings, published in Radiology by the Radiological Society of North America (RSNA), offer both compelling clinical implications and new operational considerations for imaging leaders, oncologists, and hospital CFOs alike.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49964/photon-counting-ct-signals-the-future-of-lung-cancer-imaging/">Photon-Counting CT Signals the Future of Lung Cancer Imaging</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>AI Fetal Screening Advances Raise Both Promise and Pressure for Health IT Leaders</title>
		<link>https://us.hitleaders.news/imaging/49879/ai-fetal-screening-advances-raise-both-promise-and-pressure-for-health-it-leaders/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ai-fetal-screening-advances-raise-both-promise-and-pressure-for-health-it-leaders</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 08 Dec 2025 12:59:31 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[Mount Sinai Health System]]></category>
		<category><![CDATA[Obstetrics & Gynecology]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49879</guid>

					<description><![CDATA[<p>The integration of artificial intelligence into prenatal care reached a critical milestone this month as Mount Sinai Health System became the first in New York City to deploy an FDA-cleared AI tool designed to enhance the detection of congenital heart defects during routine ultrasounds.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49879/ai-fetal-screening-advances-raise-both-promise-and-pressure-for-health-it-leaders/">AI Fetal Screening Advances Raise Both Promise and Pressure for Health IT Leaders</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<title>Overimaging in Bell’s Palsy Undermines Clinical Guidelines and Escalates Systemic Waste</title>
		<link>https://us.hitleaders.news/imaging/49850/overuse-of-imaging-in-bells-palsy-drives-up-costs-and-undermines-care/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=overuse-of-imaging-in-bells-palsy-drives-up-costs-and-undermines-care</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 18 Nov 2025 13:49:08 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[Bell’s Palsy]]></category>
		<category><![CDATA[Mount Sinai Health System]]></category>
		<category><![CDATA[The Laryngoscope]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49850</guid>

					<description><![CDATA[<p>A new nationwide analysis of Bell’s palsy management patterns reveals a costly disconnect between clinical guidelines and frontline practice. The study, led by researchers at Mount Sinai Health System and published in The Laryngoscope, finds that nearly one in four patients with Bell’s palsy receives advanced imaging, despite clear recommendations discouraging routine use.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49850/overuse-of-imaging-in-bells-palsy-drives-up-costs-and-undermines-care/">Overimaging in Bell’s Palsy Undermines Clinical Guidelines and Escalates Systemic Waste</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>AI Risk Stratification for Breast Cancer Screening Still Lacks Operational Alignment</title>
		<link>https://us.hitleaders.news/imaging/49825/ai-risk-stratification-for-breast-cancer-screening-still-lacks-operational-alignment/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ai-risk-stratification-for-breast-cancer-screening-still-lacks-operational-alignment</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 04 Nov 2025 02:25:52 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[cancer]]></category>
		<category><![CDATA[clinical AI tools]]></category>
		<category><![CDATA[Mirai]]></category>
		<category><![CDATA[RSNA]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49825</guid>

					<description><![CDATA[<p>As clinical AI tools continue to expand their footprint across imaging workflows, new evidence suggests that predictive algorithms may hold meaningful value in identifying women at risk for interval breast cancers. A recent Radiological Society of North America (RSNA) study, published in Radiology, evaluated the performance of a mammography-based deep learning model—Mirai—against a retrospective dataset of over 130,000 mammograms from the United Kingdom’s triennial screening program.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49825/ai-risk-stratification-for-breast-cancer-screening-still-lacks-operational-alignment/">AI Risk Stratification for Breast Cancer Screening Still Lacks Operational Alignment</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>AI Reporting Tools Now Carry RSNA’s Institutional Voice</title>
		<link>https://us.hitleaders.news/imaging/49760/ai-reporting-tools-now-carry-rsnas-institutional-voice/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ai-reporting-tools-now-carry-rsnas-institutional-voice</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Wed, 15 Oct 2025 11:35:23 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[peer-reviewed radiology content]]></category>
		<category><![CDATA[Rad AI]]></category>
		<category><![CDATA[RSNA]]></category>
		<category><![CDATA[RSNA Ventures]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49760</guid>

					<description><![CDATA[<p>The recent collaboration between RSNA Ventures and Rad AI marks a significant evolution in the role that professional societies can play in applied innovation.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49760/ai-reporting-tools-now-carry-rsnas-institutional-voice/">AI Reporting Tools Now Carry RSNA’s Institutional Voice</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>RSNA Ventures Links Strategy to Innovation Execution</title>
		<link>https://us.hitleaders.news/imaging/49758/rsna-ventures-links-strategy-to-innovation-execution/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=rsna-ventures-links-strategy-to-innovation-execution</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 14 Oct 2025 11:29:18 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[RSNA]]></category>
		<category><![CDATA[RSNA Ventures]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49758</guid>

					<description><![CDATA[<p>The launch of RSNA Ventures marks a structural shift in how the radiology community approaches innovation, not as a passive recipient of market trends, but as an active investor in its future. By formalizing a venture-oriented subsidiary, the Radiological Society of North America (RSNA) signals a deeper institutional commitment to shaping emerging technologies rather than merely reacting to them.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49758/rsna-ventures-links-strategy-to-innovation-execution/">RSNA Ventures Links Strategy to Innovation Execution</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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			</item>
		<item>
		<title>Radiology Leaders Push for Structured AI Competency</title>
		<link>https://us.hitleaders.news/imaging/49756/radiology-leaders-push-for-structured-ai-competency/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=radiology-leaders-push-for-structured-ai-competency</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 13 Oct 2025 11:23:48 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[AAPM]]></category>
		<category><![CDATA[ACR]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[radiology]]></category>
		<category><![CDATA[RSNA]]></category>
		<category><![CDATA[SIIM]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49756</guid>

					<description><![CDATA[<p>The accelerating integration of artificial intelligence in medical imaging is a present-state imperative. As radiology departments increasingly adopt AI tools to support diagnostics, workflow optimization, and quality assurance, the conversation has shifted from if to how. Yet even as algorithm performance improves, a critical challenge persists: how to equip the radiology workforce with the knowledge required to safely evaluate, implement, and oversee these tools across diverse clinical settings.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49756/radiology-leaders-push-for-structured-ai-competency/">Radiology Leaders Push for Structured AI Competency</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Bayer’s AI Retreat Exposes Fault Lines in Radiology Platform Strategy</title>
		<link>https://us.hitleaders.news/imaging/49693/bayers-ai-retreat-exposes-fault-lines-in-radiology-platform-strategy/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=bayers-ai-retreat-exposes-fault-lines-in-radiology-platform-strategy</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 15 Sep 2025 12:03:54 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Bayer]]></category>
		<category><![CDATA[GE Healthcare]]></category>
		<category><![CDATA[radiology]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49693</guid>

					<description><![CDATA[<p>Bayer has confirmed it will discontinue both its Calantic Digital Solutions platform and the services of its subsidiary, Blackford Analysis, marking a full retreat from the radiology AI platform business. The announcement effectively closes a five-year push to centralize access to artificial intelligence tools for diagnostic imaging, an initiative that, despite technical promise, struggled to secure meaningful traction in hospital workflows.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49693/bayers-ai-retreat-exposes-fault-lines-in-radiology-platform-strategy/">Bayer’s AI Retreat Exposes Fault Lines in Radiology Platform Strategy</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Native DICOM Output Redraws the Pathology Map</title>
		<link>https://us.hitleaders.news/imaging/49672/native-dicom-output-redraws-the-pathology-map/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=native-dicom-output-redraws-the-pathology-map</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 09 Sep 2025 11:00:31 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[DICOM]]></category>
		<category><![CDATA[DICOM JPEG]]></category>
		<category><![CDATA[JPEG XL]]></category>
		<category><![CDATA[Philips]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49672</guid>

					<description><![CDATA[<p>The long-awaited arrival of native DICOM output in digital pathology signals more than a technical milestone. It marks a strategic convergence of imaging standards, data architecture, and AI readiness across healthcare enterprises. As vendors begin aligning digital pathology workflows with established medical imaging protocols, health systems face an opportunity, and an obligation, to reassess how pathology data is stored, shared, and analyzed at scale.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49672/native-dicom-output-redraws-the-pathology-map/">Native DICOM Output Redraws the Pathology Map</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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