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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.v9i5.10757</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Application and Challenges of Artificial Intelligence in the Care of Stroke Patients</title><url>https://artdesignp.com/journal/JCNR/9/5/10.26689/jcnr.v9i5.10757</url><author>FengShiyuan,SongShiyu,HeTingting</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>5</issue><history><date date-type="pub"><published-time>2025-06-05</published-time></date></history><abstract>Driven by the combined forces of social aging and digital transformation, the application of artificial intelligence (AI) in the care of stroke patients has become an inevitable trend. AI can serve patients through intelligent health monitoring, rehabilitation training assistance, and daily care, providing targeted and intelligent support that significantly improves patients’ quality of life and the efficiency of caregivers. This article provides an overview of the application of AI in stroke care, explores the challenges encountered in technical bottlenecks, privacy data protection, and ethical considerations, and lays a theoretical foundation for the integration of AI into the care of stroke patients. 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