<?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">APM</journal-id><journal-title-group><journal-title>Advances in Precision Medicine</journal-title></journal-title-group><issn>2424-8592</issn><eissn>2424-9106</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/APM.v11i7.15568</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Advances in the Application of Artificial Intelligence in Operating Room Nursing</title><url>https://artdesignp.com/journal/APM/11/7/10.26689/APM.v11i7.15568</url><author>JinXin</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>11</volume><issue>7</issue><history><date date-type="pub"><published-time>2026-07-26</published-time></date></history><abstract>With the rapid penetration of Artificial Intelligence (AI) technology in the medical field, operating room nursing, as a core aspect of perioperative medical safety, is gradually undergoing an intelligent transformation from experience-driven to data-driven. This article systematically reviews the application progress of AI technology in the three-core operating room nursing stages&amp;mdash;preoperative, intraoperative, and postoperative&amp;mdash;based on relevant domestic and international research from 2023 to 2026, summarizes current research results and application limitations, and looks forward to future development directions, providing a reference for promoting the clinical translation and application of AI in the field of operating room nursing.</abstract><keywords>Artificial intelligence,Operating room nursing,Perioperative period,Application progress,Review</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Hu X, Wang D, Ji M, et al., 2024, Application Prospects of Machine Learning in the Field of Anesthesiology. Journal of Clinical Anesthesiology, 40(6): 634&amp;ndash;638.
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