<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>https://ecency.com</link><image><url>https://ecency.com/logo512.png</url><title>RSS Feed</title><link>https://ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Sat, 22 Aug 2026 07:09:38 GMT</lastBuildDate><atom:link href="https://ecency.com/created/miimansa/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[New Study Demonstrates an AI based De-identification System for Protecting Patient Privacy in Indian Healthcare Institutions]]></title><description><![CDATA[Gurugram, Haryana - 12 July, 2024 - Miimansa AI's new research reveals groundbreaking innovations in de-identifying Indian clinical discharge summaries using Large Language Models (LLMs). This study addresses]]></description><link>https://ecency.com/@newswirenext/new-study-demonstrates-an-ai</link><guid isPermaLink="true">https://ecency.com/@newswirenext/new-study-demonstrates-an-ai</guid><category><![CDATA[miimansa]]></category><dc:creator><![CDATA[newswirenext]]></dc:creator><pubDate>Sat, 13 Jul 2024 10:12:48 GMT</pubDate><enclosure url="https://i.ecency.com/DQmS2dC8HL7VDapXFUZK1M5H1LCB5QedLptiUSY5yadwwN3/979adb504d10f0c5c4c0d9274092bc95.jpg" length="0" type="image/jpeg"/></item></channel></rss>