<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1132-1296</journal-id>
<journal-title><![CDATA[Index de Enfermería]]></journal-title>
<abbrev-journal-title><![CDATA[Index Enferm]]></abbrev-journal-title>
<issn>1132-1296</issn>
<publisher>
<publisher-name><![CDATA[Fundación Index]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1132-12962025000200015</article-id>
<article-id pub-id-type="doi">10.58807/indexenferm20257127</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Impacto de la Inteligencia Artificial en la detección temprana de sepsis: un nuevo paradigma para el rol del enfermero]]></article-title>
<article-title xml:lang="en"><![CDATA[The Impact of Artificial Intelligence on early sepsis detection: a new paradigm for the Nurse's role]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández Cantú]]></surname>
<given-names><![CDATA[Enoc Isaí]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Mexicano del Seguro Social Hospital General de Zona No. 67 ]]></institution>
<addr-line><![CDATA[Apodaca ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<volume>34</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_arttext&amp;pid=S1132-12962025000200015&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_abstract&amp;pid=S1132-12962025000200015&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_pdf&amp;pid=S1132-12962025000200015&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La inteligencia artificial (IA) está transformando la atención en cuidados críticos, especialmente en la detección temprana de sepsis, una condición con alta mortalidad en unidades de cuidados intensivos (UCI). Este artículo analiza cómo las plataformas de IA, como DeepMind Health, mejoran los tiempos de diagnóstico, reducen complicaciones y optimizan recursos. Además, se explora cómo el uso de estas herramientas redefine el rol del enfermero, evolucionando de un enfoque reactivo hacia uno estratégico y proactivo basado en datos predictivos. También se abordan desafíos asociados, como la privacidad de los datos y la capacitación del personal, destacando la necesidad de integrar estas tecnologías de manera ética y efectiva. Este análisis posiciona a la IA como una innovación esencial para transformar la práctica clínica y fortalecer el liderazgo del enfermero en cuidados críticos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Artificial intelligence (AI) is transforming critical care, particularly in the early detection of sepsis, a condition with high mortality rates in intensive care units (ICUs). This article examines how AI platforms, such as DeepMind Health, improve diagnostic times, reduce complications, and optimize resources. Additionally, it explores how these tools redefine the role of nurses, shifting from a reactive approach to a strategic and proactive one, supported by predictive data. Challenges such as data privacy and staff training are also addressed, emphasizing the need for ethical and effective integration of these technologies. This analysis positions AI as an essential innovation to transform clinical practice and strengthen nursing leadership in critical care settings.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Sepsis]]></kwd>
<kwd lng="es"><![CDATA[Inteligencia Artificial]]></kwd>
<kwd lng="es"><![CDATA[Unidades de Cuidados Intensivos]]></kwd>
<kwd lng="es"><![CDATA[Enfermería]]></kwd>
<kwd lng="es"><![CDATA[Diagnóstico Temprano]]></kwd>
<kwd lng="es"><![CDATA[Innovación Tecnológica]]></kwd>
<kwd lng="en"><![CDATA[Sepsis]]></kwd>
<kwd lng="en"><![CDATA[Artificial Intelligence]]></kwd>
<kwd lng="en"><![CDATA[Intensive Care Units]]></kwd>
<kwd lng="en"><![CDATA[Nursing]]></kwd>
<kwd lng="en"><![CDATA[Early Diagnosis]]></kwd>
<kwd lng="en"><![CDATA[Technological Innovation]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mushahid]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Mughal]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Sonija]]></surname>
<given-names><![CDATA[MO]]></given-names>
</name>
<name>
<surname><![CDATA[Liaquat]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Culture-free biphasic approach for early sepsis detection: A true game changer]]></article-title>
<source><![CDATA[Heal Sci Rep]]></source>
<year>2024</year>
<volume>7</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Stocker]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Fillistorf]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Carra]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Giannoni]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Early detection of neonatal sepsis and reduction of overall antibiotic exposure: Towards precision medicine]]></article-title>
<source><![CDATA[Arch Pediatr]]></source>
<year>2024</year>
<volume>31</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>480-3</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yadgarov]]></surname>
<given-names><![CDATA[MY]]></given-names>
</name>
<name>
<surname><![CDATA[Landoni]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Berikashvili]]></surname>
<given-names><![CDATA[LB]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis]]></article-title>
<source><![CDATA[Front Med]]></source>
<year>2024</year>
<volume>11</volume>
</nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vittori]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Bellini]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Cascella]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Montomoli]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Francia]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Bignami]]></surname>
<given-names><![CDATA[EG]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence in anesthesia, critical care and pain medicine: the Artificial Intelligence Act helps us master a necessary change]]></article-title>
<source><![CDATA[Minerva Anestesiol]]></source>
<year>2024</year>
<volume>90</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>216-7</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Application of Artificial Intelligence to Advance Individualized Diagnosis and Treatment in Emergency and Critical Care Medicine]]></article-title>
<source><![CDATA[Diagnostics (Basel)]]></source>
<year>2024</year>
<volume>14</volume>
<numero>7</numero>
<issue>7</issue>
</nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Powles]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Hodson]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Google DeepMind and healthcare in an age of algorithms]]></article-title>
<source><![CDATA[Heal Technol]]></source>
<year>2017</year>
<numero>7</numero>
<issue>7</issue>
<page-range>351-67</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Q]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Jiao]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Nie]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[CISepsis: a causal inference framework for early sepsis detection]]></article-title>
<source><![CDATA[Front Cell Infect Microbiol]]></source>
<year>2024</year>
<volume>14</volume>
</nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pandey]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sepsis, Management &amp; Advances in Metabolomics]]></article-title>
<source><![CDATA[Nanotheranostics]]></source>
<year>2024</year>
<volume>8</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>270-84</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Reddy]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Reddy]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Gemnani]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Acharya]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Navigating the Complexity of Scoring Systems in Sepsis Management: A Comprehensive Review]]></article-title>
<source><![CDATA[Cureus]]></source>
<year>2024</year>
<volume>16</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[García-Vinueza]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Medina-Gavidia]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Alvarado-Ávila]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optimización del Tratamiento de Sepsis en Unidades de Cuidados Intensivos: Enfoque Integrado entre Medicina Interna y Cuidados Críticos]]></article-title>
<source><![CDATA[TESLA Rev Científica]]></source>
<year>2023</year>
<volume>3</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>1-11</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligence in Pediatric Critical Care Medicine: Are We (Finally) Ready?]]></article-title>
<source><![CDATA[Pediatr Crit Care Med]]></source>
<year>2018</year>
<volume>19</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>997-8</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mathur]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Burns]]></surname>
<given-names><![CDATA[ML]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligence in Critical Care]]></article-title>
<source><![CDATA[Int Anesth Clin]]></source>
<year>2019</year>
<volume>57</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>89-102</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wong]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Donnelly]]></surname>
<given-names><![CDATA[JP]]></given-names>
</name>
<name>
<surname><![CDATA[Ginde]]></surname>
<given-names><![CDATA[AA]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[External Validation of a Widely Implemented Sepsis Prediction Model in Hospitalized Patients]]></article-title>
<source><![CDATA[JAMA Intern Med]]></source>
<year>2021</year>
<volume>181</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>1065-70</page-range></nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Yeo]]></surname>
<given-names><![CDATA[HJ]]></given-names>
</name>
<name>
<surname><![CDATA[Cho]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data]]></article-title>
<source><![CDATA[J Clin Med]]></source>
<year>2023</year>
<volume>12</volume>
<numero>22</numero>
<issue>22</issue>
</nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nemati]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Razmi]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Hashemi]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU]]></article-title>
<source><![CDATA[Crit Care Med]]></source>
<year>2018</year>
<volume>46</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>547-53</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cui]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Cong]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Leng]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Development and Trends in Artificial Intelligence in Critical Care Medicine: A Bibliometric Analysis of Related Research over the Period of 2010-2021]]></article-title>
<source><![CDATA[J Pers Med]]></source>
<year>2022</year>
<volume>13</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Randall Moorman]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The principles of whole-hospital predictive analytics monitoring for clinical medicine originated in the neonatal ICU]]></article-title>
<source><![CDATA[NPJ Digit Med]]></source>
<year>2022</year>
<volume>5</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Svensson]]></surname>
<given-names><![CDATA[AM]]></given-names>
</name>
<name>
<surname><![CDATA[Jotterand]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Doctor Ex Machina: A Critical Assessment of the Use of Artificial Intelligence in Health Care]]></article-title>
<source><![CDATA[J Med Philos]]></source>
<year>2022</year>
<volume>47</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>155-78</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yoon]]></surname>
<given-names><![CDATA[JH]]></given-names>
</name>
<name>
<surname><![CDATA[Pinsky]]></surname>
<given-names><![CDATA[MR]]></given-names>
</name>
<name>
<surname><![CDATA[Clermont]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligence in Critical Care Medicine]]></article-title>
<source><![CDATA[Crit Care]]></source>
<year>2022</year>
<volume>26</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Kashyap]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Su]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Meng]]></surname>
<given-names><![CDATA[Q]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Editorial: Clinical application of artificial intelligence in emergency and critical care medicine, volume III]]></article-title>
<source><![CDATA[Front Med]]></source>
<year>2022</year>
<volume>9</volume>
</nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alderden]]></surname>
<given-names><![CDATA[JG]]></given-names>
</name>
<name>
<surname><![CDATA[Johnny]]></surname>
<given-names><![CDATA[JD]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligence and the Critical Care Nurse]]></article-title>
<source><![CDATA[Crit Care Nurse]]></source>
<year>2023</year>
<volume>43</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>7-8</page-range></nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ventura-Silva]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Martins]]></surname>
<given-names><![CDATA[MM]]></given-names>
</name>
<name>
<surname><![CDATA[Trindade]]></surname>
<given-names><![CDATA[LL]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligence in the Organization of Nursing Care: A Scoping Review]]></article-title>
<source><![CDATA[Nurs Rep]]></source>
<year>2024</year>
<volume>14</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>2733-45</page-range></nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ramírez-Perdomo]]></surname>
<given-names><![CDATA[CA]]></given-names>
</name>
<name>
<surname><![CDATA[Valenzuela-Mazabel]]></surname>
<given-names><![CDATA[AM]]></given-names>
</name>
<name>
<surname><![CDATA[Flórez-Torres]]></surname>
<given-names><![CDATA[IE]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Aplicaciones móviles y web orientadas hacia el soporte del cuidador]]></article-title>
<source><![CDATA[Index de Enfermería]]></source>
<year>2024</year>
<volume>33</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>1-5</page-range></nlm-citation>
</ref>
<ref id="B24">
<label>24</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sockolow]]></surname>
<given-names><![CDATA[PS]]></given-names>
</name>
<name>
<surname><![CDATA[Borosund]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Helleso]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligence in Nursing: Perspectives from Norwegian Nurses]]></article-title>
<source><![CDATA[Stud Heal Technol Inf]]></source>
<year>2024</year>
<volume>315</volume>
<page-range>217-22</page-range></nlm-citation>
</ref>
<ref id="B25">
<label>25</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Costa]]></surname>
<given-names><![CDATA[ICP]]></given-names>
</name>
<name>
<surname><![CDATA[Costa]]></surname>
<given-names><![CDATA[AS]]></given-names>
</name>
<name>
<surname><![CDATA[Mendes]]></surname>
<given-names><![CDATA[KDS]]></given-names>
</name>
<name>
<surname><![CDATA[Limongi]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Potential of Artificial Intelligence in Evidence-Based Practice in Nursing]]></article-title>
<source><![CDATA[Rev Bras Enferm]]></source>
<year>2024</year>
<volume>77</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B26">
<label>26</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yakusheva]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
<name>
<surname><![CDATA[Bouvier]]></surname>
<given-names><![CDATA[MJ]]></given-names>
</name>
<name>
<surname><![CDATA[Hagopian]]></surname>
<given-names><![CDATA[COP]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[How Artificial Intelligence is altering the nursing workforce]]></article-title>
<source><![CDATA[Nurs Outlook]]></source>
<year>2024</year>
<volume>73</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B27">
<label>27</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Carter-Templeton]]></surname>
<given-names><![CDATA[HD]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Use of Artificial Intelligence in Nursing Care Areas]]></article-title>
<source><![CDATA[Comput Inf Nurs]]></source>
<year>2024</year>
<volume>42</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>323-4</page-range></nlm-citation>
</ref>
<ref id="B28">
<label>28</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Koo]]></surname>
<given-names><![CDATA[TH]]></given-names>
</name>
<name>
<surname><![CDATA[Zakaria]]></surname>
<given-names><![CDATA[AD]]></given-names>
</name>
<name>
<surname><![CDATA[Ng]]></surname>
<given-names><![CDATA[JK]]></given-names>
</name>
<name>
<surname><![CDATA[Leong]]></surname>
<given-names><![CDATA[XB]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Systematic Review of the Application of Artificial Intelligence in Healthcare and Nursing Care]]></article-title>
<source><![CDATA[Malays J Med Sci]]></source>
<year>2024</year>
<volume>31</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>135-42</page-range></nlm-citation>
</ref>
<ref id="B29">
<label>29</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Montejo]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Fenton]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Davis]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence (AI) applications in healthcare and considerations for nursing education]]></article-title>
<source><![CDATA[Nurse Educ Pr]]></source>
<year>2024</year>
<volume>80</volume>
</nlm-citation>
</ref>
<ref id="B30">
<label>30</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Davis]]></surname>
<given-names><![CDATA[JH]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Nursing in the Age of Artificial Intelligence]]></article-title>
<source><![CDATA[Comput Inf Nurs]]></source>
<year>2024</year>
</nlm-citation>
</ref>
<ref id="B31">
<label>31</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gerdes]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Bayne]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Henry]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Emerging Artificial Intelligence-Based Pedagogies in Didactic Nursing Education: A Scoping Review]]></article-title>
<source><![CDATA[Nurse Educ]]></source>
<year>2024</year>
<volume>50</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>E7-E12</page-range></nlm-citation>
</ref>
<ref id="B32">
<label>32</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lifshits]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Rosenberg]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence in nursing education: A scoping review]]></article-title>
<source><![CDATA[Nurse Educ Pr]]></source>
<year>2024</year>
<volume>80</volume>
</nlm-citation>
</ref>
<ref id="B33">
<label>33</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gallagher]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence and nursing: The good, the bad and the cautionary]]></article-title>
<source><![CDATA[Nurs Ethics]]></source>
<year>2024</year>
<volume>31</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>995-8</page-range></nlm-citation>
</ref>
<ref id="B34">
<label>34</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Goktas]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Kucukkaya]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Karacay]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The Potential and Pitfalls of Artificial Intelligence in Nursing: Preserving Humanity in the Face of Technological Advancement]]></article-title>
<source><![CDATA[Florence Nightingale J Nurs]]></source>
<year>2024</year>
<volume>32</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>116-7</page-range></nlm-citation>
</ref>
<ref id="B35">
<label>35</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Banks]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The Human Touch: Practical and Ethical Implications of Putting AI and Robotics to Work for Patients]]></article-title>
<source><![CDATA[IEEE Pulse]]></source>
<year>2018</year>
<volume>9</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>15-8</page-range></nlm-citation>
</ref>
<ref id="B36">
<label>36</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Villanova-Tallada]]></surname>
<given-names><![CDATA[MP]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Transformación digital: no hay ética sin estética]]></article-title>
<source><![CDATA[Index de Enfermería]]></source>
<year>2024</year>
<volume>33</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>1-2</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
