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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCNR</journal-id><journal-title-group><journal-title>Journal of Clinical and Nursing Research</journal-title></journal-title-group><issn>2208-3685</issn><eissn>2208-3693</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/JCNR.v10i9.15816</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Exploration of the Application of Artificial Intelligence Technology in Radiological Medical Image Processing</title><url>https://artdesignp.com/journal/JCNR/10/9/10.26689/JCNR.v10i9.15816</url><author>HuHengwen</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>10</volume><issue>9</issue><history><date date-type="pub"><published-time>2026-10-23</published-time></date></history><abstract/><keywords>Artificial intelligence, Radiological medicine, Image processing, Deep learning, Auxiliary diagnosis</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Zheng L, He B, 2026, Progress in Artificial Intelligence Applications for Imaging Examinations of Sarcopenic Osteoporosis. Chinese Journal of Medical Imaging, 34(6): 674&amp;ndash;677.
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