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	<title>Radiology | Tissuepathology.com</title>
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		<title>Cancer World: How AI is Assisting, Not Replacing Radiologists</title>
		<link>https://tissuepathology.com/2025/10/23/cancer-world-how-ai-is-assisting-not-replacing-radiologists/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Thu, 23 Oct 2025 12:51:00 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Clinical Pathology]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Radiology]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Cancer World]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Radiologists]]></category>
		<category><![CDATA[Sophie Fessl]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=23999</guid>

					<description><![CDATA[<p>Nine years ago, one of the leading artificial intelligence scientists, Geoffrey Hinton, made a startling prediction: “We should stop training radiologists now.” He believed that within five years, machines would outperform humans at reading medical images. Nearly a decade later, radiologists are not only still here, they’re proving why their role is more essential than ever. “This perspective [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/10/23/cancer-world-how-ai-is-assisting-not-replacing-radiologists/">Cancer World: How AI is Assisting, Not Replacing Radiologists</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>​Leading Global Healthtech Company, Harrison.ai, to Bring Proven AI-Powered Medical Diagnostic Support and Workflow Solutions to the United States; US$112 Million Series C Fuels Global Expansion</title>
		<link>https://tissuepathology.com/2025/02/12/leading-global-healthtech-company-harrison-ai-to-bring-proven-ai-powered-medical-diagnostic-support-and-workflow-solutions-to-the-united-states-us112-million-series-c-fuels-global-expansi/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Wed, 12 Feb 2025 15:29:06 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Business]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[Radiology]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Diagnostics]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[Harrison ai]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Series C funding]]></category>
		<category><![CDATA[workflow]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=23416</guid>

					<description><![CDATA[<p>Harrison.ai: Company’s Radiology and Pathology Solutions Expand Clinician Capacity, Increase Operational Efficiency, and Improve Early Disease Diagnosis February 11, 2025 10:00 AM Eastern Standard Time BOSTON&#8211;(BUSINESS WIRE)&#8211;Harrison.ai, a leading global healthtech company and developer of AI-powered medical diagnostic support and workflow solutions, announced today the accelerated expansion of its operations into the United States, a [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/02/12/leading-global-healthtech-company-harrison-ai-to-bring-proven-ai-powered-medical-diagnostic-support-and-workflow-solutions-to-the-united-states-us112-million-series-c-fuels-global-expansi/">​Leading Global Healthtech Company, Harrison.ai, to Bring Proven AI-Powered Medical Diagnostic Support and Workflow Solutions to the United States; US$112 Million Series C Fuels Global Expansion</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Lunit Insight CXR AI Solution Proves Effective in Emergency Patient Classification</title>
		<link>https://tissuepathology.com/2024/12/27/lunit-insight-cxr-ai-solution-proves-effective-in-emergency-patient-classification/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Fri, 27 Dec 2024 12:58:52 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Blogs]]></category>
		<category><![CDATA[Business]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Radiology]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[chest x-ray]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[Emergency Medicine]]></category>
		<category><![CDATA[European Journal of Radiology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Lunit]]></category>
		<category><![CDATA[Pathology]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=23320</guid>

					<description><![CDATA[<p>Lunit: European Journal of Radiology Publishes Study Highlighting 77% Reduction in Triage Time Lunit announced on Dec. 26 that a study demonstrating the significant reduction in time required for emergency patient triage using their AI solution, &#8220;Lunit Insight CXR,&#8221; was published in the European Journal of Radiology. The research, conducted by Dr. Srinivas Sridharan&#8217;s team at [&#8230;]</p>
The post <a href="https://tissuepathology.com/2024/12/27/lunit-insight-cxr-ai-solution-proves-effective-in-emergency-patient-classification/">Lunit Insight CXR AI Solution Proves Effective in Emergency Patient Classification</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<item>
		<title>Philips launches new-AI enabled innovations at #RSNA23 that free up healthcare providers to focus on patient care</title>
		<link>https://tissuepathology.com/2023/11/27/philips-launches-new-ai-enabled-innovations-at-rsna23-that-free-up-healthcare-providers-to-focus-on-patient-care/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 27 Nov 2023 12:46:43 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[International]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[Radiology]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[MRI]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Philips]]></category>
		<category><![CDATA[Royal Philips]]></category>
		<category><![CDATA[ultrasound]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=22425</guid>

					<description><![CDATA[<p>Philips: New innovations help hospitals and health systems to consistently deliver accessible, high-quality care to patients in a sustainable way Amsterdam, the Netherlands and Chicago, USA – Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today puts patients and healthcare providers center-stage at #RSNA23, the world’s largest medical imaging conference. Radiologists are looking for solutions [&#8230;]</p>
The post <a href="https://tissuepathology.com/2023/11/27/philips-launches-new-ai-enabled-innovations-at-rsna23-that-free-up-healthcare-providers-to-focus-on-patient-care/">Philips launches new-AI enabled innovations at #RSNA23 that free up healthcare providers to focus on patient care</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Researchers Find AI Improves Breast Cancer Detection by 20%</title>
		<link>https://tissuepathology.com/2023/08/28/researchers-find-ai-improves-breast-cancer-detection-by-20/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 28 Aug 2023 11:23:17 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Clinical Pathology]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[International]]></category>
		<category><![CDATA[Medical Research]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Radiology]]></category>
		<category><![CDATA[Reports]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[breast cancer]]></category>
		<category><![CDATA[cancer]]></category>
		<category><![CDATA[Dark Daily]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Lund University]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Research]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=22208</guid>

					<description><![CDATA[<p>Initial analyses also show AI screening lowers associated radiologist image reading workload by half Both radiologists and pathologists analyze images to make cancer diagnoses, although one works with radiological images and the other works with tissue biopsies as the source of information. Now, advances in artificial intelligence (AI) for cancer screenings means both radiologists and pathologists may soon be able to detect cancer [&#8230;]</p>
The post <a href="https://tissuepathology.com/2023/08/28/researchers-find-ai-improves-breast-cancer-detection-by-20/">Researchers Find AI Improves Breast Cancer Detection by 20%</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Philips highlights AI-powered integrated diagnostic approach at ECR 2023</title>
		<link>https://tissuepathology.com/2023/03/06/philips-highlights-ai-powered-integrated-diagnostic-approach-at-ecr-2023/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Mon, 06 Mar 2023 12:51:00 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Conferences]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[International]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[Radiology]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[diagnostic imaging]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[European Congress of Radiology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Netherlands]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Royal Philips]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=21785</guid>

					<description><![CDATA[<p>Philips: Fully interoperable smart imaging systems and informatics solutions connect teams in radiology, oncology, cardiology and pathology to enhance clinical confidence and advance precision in diagnosis and treatment Vienna, Austria and Amsterdam, the Netherlands – Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced its radiology portfolio of smart connected imaging systems [&#8230;]</p>
The post <a href="https://tissuepathology.com/2023/03/06/philips-highlights-ai-powered-integrated-diagnostic-approach-at-ecr-2023/">Philips highlights AI-powered integrated diagnostic approach at ECR 2023</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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