<?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>0484-7903</journal-id>
<journal-title><![CDATA[Revista mexicana de anestesiología]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. anestesiol.]]></abbrev-journal-title>
<issn>0484-7903</issn>
<publisher>
<publisher-name><![CDATA[Colegio Mexicano de Anestesiología A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0484-79032024000400291</article-id>
<article-id pub-id-type="doi">10.35366/116239</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Inteligencia artificial, la nueva herramienta en la medicina perioperatoria y en el manejo del dolor postoperatorio]]></article-title>
<article-title xml:lang="en"><![CDATA[Artificial intelligence, the new tool in perioperative medicine and postoperative pain management]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Verdugo-Velázquez]]></surname>
<given-names><![CDATA[Frida Fernanda]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández-Badillo]]></surname>
<given-names><![CDATA[Luis Enrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Reyes-Rojas]]></surname>
<given-names><![CDATA[Jhoanna Emmaryn]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Garduño-López]]></surname>
<given-names><![CDATA[Ana Lilia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán  ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Nacional de Cancerología  ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>47</volume>
<numero>4</numero>
<fpage>291</fpage>
<lpage>295</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0484-79032024000400291&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0484-79032024000400291&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0484-79032024000400291&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: A lo largo de la historia, la ciencia y la tecnología se han convertido en aliados en el área de la salud. Nos encontramos en una nueva era en donde el desarrollo de la inteligencia artificial (IA) junto a su aplicación en la medicina pueden mejorar la toma de decisiones de los profesionales de la salud para disminuir riesgos, basándose en herramientas como los algoritmos de predicción o las redes neuronales artificiales. La aplicación de inteligencia artificial forma parte tanto del presente como del futuro de la anestesiología y de la medicina perioperatoria, siendo una herramienta útil para el anestesiólogo. Este artículo se enfoca en la aplicación de la IA para la creación de algoritmos, así como en el potencial que tiene para revolucionar la práctica clínica en el manejo del dolor postquirúrgico.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Throughout history, science and technology have become allies in the area of healthcare. We are in a new era where the development of artificial intelligence (AI) and its application in medicine can improve the decision making of healthcare professionals to reduce risks, based on tools such as predictive algorithms or artificial neural networks. The application of artificial intelligence is part of both the present and the future of anesthesiology and perioperative medicine, being a useful tool for the anesthesiologist. This article focuses on the application of AI for the creation of algorithms, as well as its potential to revolutionize clinical practice in the management of post-surgical pain.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[medicina perioperatoria]]></kwd>
<kwd lng="es"><![CDATA[Deep Learning]]></kwd>
<kwd lng="es"><![CDATA[Machine Learning]]></kwd>
<kwd lng="es"><![CDATA[anestesia regional]]></kwd>
<kwd lng="es"><![CDATA[dolor postoperatorio]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[perioperative medicine]]></kwd>
<kwd lng="en"><![CDATA[Deep Learning]]></kwd>
<kwd lng="en"><![CDATA[Machine Learning]]></kwd>
<kwd lng="en"><![CDATA[regional anesthesia]]></kwd>
<kwd lng="en"><![CDATA[postoperative pain]]></kwd>
</kwd-group>
</article-meta>
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