<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Radiology on Aiplorer</title><link>https://aiplorer.com/tags/radiology/</link><description>Recent content in Radiology on Aiplorer</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 01 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aiplorer.com/tags/radiology/index.xml" rel="self" type="application/rss+xml"/><item><title>Digital Medical Devices and Generative AI: A New Era in Radiology</title><link>https://aiplorer.com/posts/digital-medical-devices-generative-ai/</link><pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate><guid>https://aiplorer.com/posts/digital-medical-devices-generative-ai/</guid><description>&lt;p&gt;Digital medical devices powered by generative artificial intelligence (AI) have made a significant leap forward with the recent approval of &amp;lsquo;AI Read-CXR&amp;rsquo; by Sumbit AI in Korea. This groundbreaking device assists radiologists by generating preliminary findings from chest X-ray images, showcasing the potential of AI to enhance diagnostic accuracy and efficiency in healthcare.&lt;/p&gt;
&lt;p&gt;Unlike traditional AI tools that merely indicate the presence or severity of lesions, AI Read-CXR goes a step further by analyzing images and providing detailed textual findings. Clinical trials demonstrated that its performance aligns closely with that of experienced radiologists, marking a pivotal moment in the integration of AI into medical imaging.&lt;/p&gt;</description></item></channel></rss>