<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI in Medicine on Amir Vahedi</title><link>https://amirvahedix.github.io/tags/ai-in-medicine/</link><description>Recent content in AI in Medicine on Amir Vahedi</description><generator>Hugo 0.125.0</generator><language>en-us</language><lastBuildDate>Sat, 04 Jul 2026 02:05:40 +0330</lastBuildDate><atom:link href="https://amirvahedix.github.io/tags/ai-in-medicine/index.xml" rel="self" type="application/rss+xml"/><item><title>Medical Image Processing Libraries: A Quick Overview</title><link>https://amirvahedix.github.io/posts/medical-imaging-libraries/</link><pubDate>Sat, 04 Jul 2026 02:05:40 +0330</pubDate><guid>https://amirvahedix.github.io/posts/medical-imaging-libraries/</guid><description>Right now, there are some seriously powerful libraries and frameworks out there dedicated to medical imaging. They make the whole process of training and testing models so much easier for developers. Here is a quick breakdown of these libraries.
Nvidia&amp;rsquo;s Clara Medical Developed by Nvidia, Clara Medical is an awesome collection of powerful models for various tasks—like generating CT and MRI scans, as well as other challenges in this field, such as 3D medical image segmentation.</description></item></channel></rss>