<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>humanized computing in medical translation &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/humanized-computing-in-medical-translation/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Sun, 30 Aug 2026 03:58:30 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>humanized computing in medical translation &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>New MultiMed-ST datasets boost machine translation for medical use</title>
		<link>https://scienmag.com/new-multimed-st-datasets-boost-machine-translation-for-medical-use/</link>
		
		<dc:creator><![CDATA[Denise Maddox]]></dc:creator>
		<pubDate>Sun, 30 Aug 2026 03:58:27 +0000</pubDate>
				<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[advancements in medical multilingual NLP]]></category>
		<category><![CDATA[advancements in medical NLP datasets]]></category>
		<category><![CDATA[AI in medical language translation]]></category>
		<category><![CDATA[AI-driven healthcare language translation]]></category>
		<category><![CDATA[ambient intelligence in healthcare]]></category>
		<category><![CDATA[ambient intelligence in medical applications]]></category>
		<category><![CDATA[automated speech recognition in healthcare]]></category>
		<category><![CDATA[bilingual and multilingual medical communication]]></category>
		<category><![CDATA[Bilingual-multilingual medical datasets]]></category>
		<category><![CDATA[cross-lingual medical communication]]></category>
		<category><![CDATA[cross-lingual medical speech datasets]]></category>
		<category><![CDATA[healthcare communication enhancement]]></category>
		<category><![CDATA[Hugging Face medical NLP tools]]></category>
		<category><![CDATA[humanized computing for medical translation]]></category>
		<category><![CDATA[humanized computing in medical translation]]></category>
		<category><![CDATA[medical machine translation models]]></category>
		<category><![CDATA[medical speech dataset development]]></category>
		<category><![CDATA[Multilingual medical speech translation datasets]]></category>
		<category><![CDATA[sequence-to-sequence models for medical translation]]></category>
		<guid isPermaLink="false">https://scienmag.com/new-multimed-st-datasets-boost-machine-translation-for-medical-use/</guid>

					<description><![CDATA[Subject of Research: Multilingual medical speech translation dataset and models (MultiMed-ST) Article Title: MultiMed-ST datasets for machine translation in medical applications Article References: Gouda, G., &#38; Suma, R. (2026). MultiMed-ST datasets for machine translation in medical applications. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-026-05120-4 Image Credits: AI Generated DOI: 10.1007/s12652-026-05120-4 Keywords: Automated Speech Recognition, [&#8230;]]]></description>
										<content:encoded><![CDATA[<div class="scienmag-article-metadata"><strong>Subject of Research:</strong> Multilingual medical speech translation dataset and models (MultiMed-ST)</p>
<p><strong>Article Title:</strong> MultiMed-ST datasets for machine translation in medical applications</p>
<p><strong>Article References:</strong> Gouda, G., &amp; Suma, R. (2026). MultiMed-ST datasets for machine translation in medical applications. <em>Journal of Ambient Intelligence and Humanized Computing</em>. <a href="https://doi.org/10.1007/s12652-026-05120-4" target="_blank" rel="noopener noreferrer">https://doi.org/10.1007/s12652-026-05120-4</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s12652-026-05120-4" target="_blank" rel="noopener noreferrer">10.1007/s12652-026-05120-4</a></p>
<p><strong>Keywords:</strong> Automated Speech Recognition, MultiMed-ST, Multilingual speech translation, Medical machine translation, Bilingual–multilingual, Hugging Face, Sequence-to-sequence models, Healthcare communication</p>
</div>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">185158</post-id>	</item>
	</channel>
</rss>
