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	<title>breast cancer Archives - HIT Leaders and News</title>
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		<title>Shorter MRI Exam Effectively Detects Cancer in Dense Breasts</title>
		<link>https://us.hitleaders.news/imaging/48568/shorter-mri-exam-effectively-detects-cancer-in-dense-breasts/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=shorter-mri-exam-effectively-detects-cancer-in-dense-breasts</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Thu, 29 May 2025 10:54:29 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[breast MRI]]></category>
		<category><![CDATA[Dense Tissue and Early Breast Neoplasm Screening (DENSE) Trial]]></category>
		<category><![CDATA[MRI]]></category>
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					<description><![CDATA[<p>Abbreviated breast MRI shortens exam time while retaining a high level of diagnostic accuracy of breast cancer in women with extremely dense breasts, according to an article published today in Radiology, a journal of the Radiological Society of North America (RSNA).</p>
<p>The post <a href="https://us.hitleaders.news/imaging/48568/shorter-mri-exam-effectively-detects-cancer-in-dense-breasts/">Shorter MRI Exam Effectively Detects Cancer in Dense Breasts</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>AI Has Potential to Flag Mammograms for Supplemental MRI</title>
		<link>https://us.hitleaders.news/core-categories/ai-machine-learning/46921/ai-has-potential-to-flag-mammograms-for-supplemental-mri/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ai-has-potential-to-flag-mammograms-for-supplemental-mri</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 10 Feb 2025 11:47:43 +0000</pubDate>
				<category><![CDATA[AI/Machine Learning]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[imaging]]></category>
		<category><![CDATA[mammogram]]></category>
		<category><![CDATA[MRI]]></category>
		<category><![CDATA[RSNA]]></category>
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					<description><![CDATA[<p>Artificial intelligence (AI) effectively identified women at higher breast cancer risk in a select Dutch population, according to a study published today in Radiology, a journal of the Radiological Society of North America (RSNA).</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/ai-machine-learning/46921/ai-has-potential-to-flag-mammograms-for-supplemental-mri/">AI Has Potential to Flag Mammograms for Supplemental MRI</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Ten-Year Study Shows Tomosynthesis Improves Breast Cancer Detection</title>
		<link>https://us.hitleaders.news/imaging/46214/ten-year-study-shows-tomosynthesis-improves-breast-cancer-detection/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ten-year-study-shows-tomosynthesis-improves-breast-cancer-detection</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 24 Sep 2024 11:36:25 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[RSNA]]></category>
		<category><![CDATA[Tomosynthesis]]></category>
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					<description><![CDATA[<p>According to a new 10-year study, screening for breast cancer with digital breast tomosynthesis (DBT) increases cancer detection rates and significantly reduces the rate of advanced cancers compared to conventional 2D digital mammography.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/46214/ten-year-study-shows-tomosynthesis-improves-breast-cancer-detection/">Ten-Year Study Shows Tomosynthesis Improves Breast Cancer Detection</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<title>RSNA and GE HealthCare Bring Advanced Mammography Technology to Tanzania to Improve Access and Help Address Breast Cancer Mortality Rate</title>
		<link>https://us.hitleaders.news/imaging/42627/rsna-and-ge-healthcare-bring-advanced-mammography-technology-to-tanzania-to-improve-access-and-help-address-breast-cancer-mortality-rate/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=rsna-and-ge-healthcare-bring-advanced-mammography-technology-to-tanzania-to-improve-access-and-help-address-breast-cancer-mortality-rate</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 23 Apr 2024 12:39:40 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[GE Healthcare]]></category>
		<category><![CDATA[Radiological Society of North America]]></category>
		<category><![CDATA[RSNA]]></category>
		<category><![CDATA[Tanzania]]></category>
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					<description><![CDATA[<p>The Radiological Society of North America (RSNA) and GE HealthCare announced their collaboration to provide mammography technology, training and educational tools to radiologists at Muhimbili National Hospital (MNH), part of the Muhimbili University of Health and Sciences (MUHAS), in Tanzania to improve access to screening and help clinicians lower the country’s breast cancer mortality rate.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/42627/rsna-and-ge-healthcare-bring-advanced-mammography-technology-to-tanzania-to-improve-access-and-help-address-breast-cancer-mortality-rate/">RSNA and GE HealthCare Bring Advanced Mammography Technology to Tanzania to Improve Access and Help Address Breast Cancer Mortality Rate</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
			</item>
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		<title>Researchers Develop Deep Learning Model to Predict Breast Cancer</title>
		<link>https://us.hitleaders.news/imaging/42492/researchers-develop-deep-learning-model-to-predict-breast-cancer/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=researchers-develop-deep-learning-model-to-predict-breast-cancer</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Thu, 28 Mar 2024 13:49:51 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
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					<description><![CDATA[<p>Researchers have developed a new, interpretable artificial intelligence (AI) model to predict 5-year breast cancer risk from mammograms, according to a new study published in Radiology, a journal of the Radiological Society of North America (RSNA).</p>
<p>The post <a href="https://us.hitleaders.news/imaging/42492/researchers-develop-deep-learning-model-to-predict-breast-cancer/">Researchers Develop Deep Learning Model to Predict Breast Cancer</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Lunit Unveils Real-World Data Backing Clinical Efficacy of AI for the First Time in Breast Cancer Research</title>
		<link>https://us.hitleaders.news/imaging/38680/lunit-unveils-real-world-data-backing-clinical-efficacy-of-ai-for-the-first-time-in-breast-cancer-research/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=lunit-unveils-real-world-data-backing-clinical-efficacy-of-ai-for-the-first-time-in-breast-cancer-research</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 29 Nov 2022 07:50:34 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[Lunit]]></category>
		<category><![CDATA[RSNA]]></category>
		<category><![CDATA[RSNA 2022]]></category>
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					<description><![CDATA[<p>Lunit, a provider of AI-powered cancer solutions, announced that it unveiled real-world data (RWD) validating the clinical efficacy of AI in actual medical settings for the first time in the field of breast cancer research at this year's RSNA meeting. The company will be presenting a total of 12 abstracts—8 oral presentations and 4 poster presentations—at the 108th RSNA Annual Meeting to be held from Nov. 27 – Dec. 1.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/38680/lunit-unveils-real-world-data-backing-clinical-efficacy-of-ai-for-the-first-time-in-breast-cancer-research/">Lunit Unveils Real-World Data Backing Clinical Efficacy of AI for the First Time in Breast Cancer Research</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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