<?xml version="1.1" encoding="utf-8"?>
<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.v10i4.14860</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Application Prospects of Robots in the Field of Clinical Nursing Under the Background of Embodied Intelligence</title><url>https://artdesignp.com/journal/JCNR/10/4/10.26689/jcnr.v10i4.14860</url><author>QinHui</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>10</volume><issue>4</issue><history><date date-type="pub"><published-time>2026-04-30</published-time></date></history><abstract>With the acceleration of the aging population and the increasingly prominent contradiction between the supply and demand of medical resources, the field of clinical nursing is also facing new challenges and opportunities. Embodied Intelligence (EI) is a cutting-edge branch of artificial intelligence, emphasizing that intelligent agents achieve the unity of cognition and action through dynamic interaction between physical carriers and the environment, which has injected vivid vitality into the development of clinical nursing robots. Based on this, this paper will briefly analyze the core connotation and technical characteristics of embodied intelligence, as well as the application scenarios of nursing robots in the field of clinical nursing, and look forward to the application prospects of nursing robots in the field of clinical nursing under the background of embodied intelligence, aiming to promote the deep integration of embodied intelligence technology and the field of clinical nursing.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Ren H, Cheng H, 2025, Development Trends of Embodied Intelligence Technology. Research and Application of Digital Intelligence Technology, 1(03): 64–76.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Huang Z, Lai P, Liao X, 2025, Exploration of the Application of Embodied Intelligence in Pediatric Nursing: Current Situation, Challenges and Paths. Research and Application of Digital Intelligence Technology, 1(03): 77–90.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Song J, Xie T, Yang S, 2025, Application and Prospect of Embodied Intelligence in the Field of Healthcare. Soft Science of Health, 39(02): 26–30 + 36.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Li Q, Feng B, Xia L, 2024, Research Progress on the Clinical Application of Nursing Robots in Intensive Care Units. Modern Clinical Nursing, 23(06): 73–78.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Qian Y, 2024, Functions and Applications of Nursing Robots. Contemporary Nurses (Late Edition), 31(04): 19–23.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Yuan X, Chang C, Chen X, et al., 2024, Overview of the R&amp;D Foundation and Application Status of Nursing Robots. Journal of Nursing Science, 39(04): 108–112.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Peng W, Chen D, Li B, et al., 2023, Current Situation and Prospect of the Application of ChatGPT Artificial Intelligence Language Robots in the Field of Nursing. Family Nurse, 21(35): 4934–4937.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Hu Y, Tian J, Liao H, et al., 2023, Exploration and Reflection on the Application of Intravenous Medication Admixture Robots in Clinical Nursing Work. Chongqing Medicine, 52(23): 3669–3672.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Gao Y, Sun E, Bi X, et al., 2023, Meta-Synthesis of Qualitative Studies on Patients’ Attitudes Towards the Use of Nursing Robots. Military Nursing, 40(07): 20–24 + 56.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Guo K, Li Y, Li Y, et al., 2023, Construction of a Perioperative Nursing Process Checklist for Robot-Assisted Thoracoscopic Surgery. Journal of Kunming Medical University, 44(04): 181–186.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Miao J, Wang Y, He Y, 2023, Research on the Application of Transport Nursing Robots in Nursing Practice. Evidence-Based Nursing, 9(03): 453–456.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Wang J, Xue Z, Ma F, et al., 2023, Research Progress on the Clinical Application of Nursing Robots. Journal of Nursing, 30(02): 39–43.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Gao J, Ye X, Li Y, et al., 2022, Application of Artificial Intelligence in Clinical Nursing: A Scoping Review. Evidence-Based Nursing, 8(22): 2996–3006.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Zhao J, Sun X, Wang Y, et al., 2022, Research Progress on the Application of Nursing Robots. Journal of Nursing Science, 37(12): 108–111.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Xu Y, 2022, Preliminary Exploration of Nursing Management in Robotic Surgery. Journal of Robotic Surgery (Chinese and English), 3(03): 224–228.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
