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	<title>Deep learning in radiology &#8211; BIOENGINEER.ORG</title>
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	<title>Deep learning in radiology &#8211; BIOENGINEER.ORG</title>
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		<title>Mayo Clinic Physician Honored with Dr. Scott C. Goodwin Grant for Advancing Adenomyosis Research</title>
		<link>https://bioengineer.org/mayo-clinic-physician-honored-with-dr-scott-c-goodwin-grant-for-advancing-adenomyosis-research/</link>
		
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		<pubDate>Tue, 09 Sep 2025 21:42:01 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Adenomyosis research]]></category>
		<category><![CDATA[Artificial intelligence in gynecology]]></category>
		<category><![CDATA[Deep learning in radiology]]></category>
		<category><![CDATA[Dr. Scott C. Goodwin Grant]]></category>
		<category><![CDATA[Women’s Health Innovation]]></category>
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					<description><![CDATA[FAIRFAX, VA (September 3, 2025) — The medical and scientific community has a new beacon of hope in the battle against adenomyosis and endometriosis, two notoriously elusive and debilitating gynecological disorders. Dr. Wendaline M. VanBuren, a distinguished radiologist at the Mayo Clinic in Rochester, Minnesota, has been awarded the prestigious Dr. Scott C. Goodwin Grant [&#8230;]]]></description>
		
		
		
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		<title>Revolutionary Deep Learning Model Enhances Lung Tumor Detection in CT Scans</title>
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		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 21 Jan 2025 18:20:13 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[AI-clinician collaboration]]></category>
		<category><![CDATA[CT scan segmentation]]></category>
		<category><![CDATA[Deep learning in radiology]]></category>
		<category><![CDATA[Lung tumor detection]]></category>
		<category><![CDATA[Oncology diagnostics advancement]]></category>
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					<description><![CDATA[A groundbreaking study published in the prestigious journal Radiology has unveiled a new deep learning model that demonstrates significant promise in detecting and segmenting lung tumors from CT scans. This advancement could potentially reshape the landscape of lung cancer diagnosis and treatment, a critical area in oncology given lung cancer’s status as the leading cause [&#8230;]]]></description>
		
		
		
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