<?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>1870-7203</journal-id>
<journal-title><![CDATA[Acta médica Grupo Ángeles]]></journal-title>
<abbrev-journal-title><![CDATA[Acta méd. Grupo Ángeles]]></abbrev-journal-title>
<issn>1870-7203</issn>
<publisher>
<publisher-name><![CDATA[Grupo Ángeles, Servicios de Salud]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1870-72032023000400338</article-id>
<article-id pub-id-type="doi">10.35366/112643</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Estudio de concordancia entre el sistema Watson for Oncology y la práctica clínica en pacientes con cáncer de mama dentro del Hospital Angeles Pedregal]]></article-title>
<article-title xml:lang="en"><![CDATA[Concordance study between the &#8220;Watson for Oncology&#8221; system and clinical practice in breast cancer patients at the Hospital Angeles Pedregal]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mellado Orellana]]></surname>
<given-names><![CDATA[Raúl]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
<xref ref-type="aff" rid="A a"/>
<xref ref-type="aff" rid="A1"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Escobar Arriaga]]></surname>
<given-names><![CDATA[Elizabeth]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mora Molina]]></surname>
<given-names><![CDATA[Héctor De la]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Díaz Greene]]></surname>
<given-names><![CDATA[Enrique Juan]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez Weber]]></surname>
<given-names><![CDATA[Federico Leopoldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad La Salle Facultad Mexicana de Medicina ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Hospital Angeles Pedregal  ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Hospital Angeles Pedregal Grupo Top Oncology ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Hospital Angeles Pedregal  ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Hospital Angeles Pedregal  ]]></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>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<volume>21</volume>
<numero>4</numero>
<fpage>338</fpage>
<lpage>342</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1870-72032023000400338&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1870-72032023000400338&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1870-72032023000400338&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen:  Introducción:  la inteligencia artificial ha superado la habilidad de algunos expertos para diagnosticar y ofrecer tratamientos con precisión. Se estima que un médico debería de leer más de 20 horas al día sobre literatura médica para mantenerse actualizado. El sistema Watson for Oncology (WFO) es un software cognitivo que está diseñado para procesar gran cantidad de literatura médica enfocada en pacientes oncológicos y ofrecer opciones terapéuticas.  Objetivo:  describir la concordancia del tratamiento adyuvante para pacientes con cáncer de mama entre un grupo de oncólogos expertos del Hospital Angeles Pedregal y el tratamiento adyuvante sugerido por el sistema Watson for Oncology.  Material y métodos:  es un estudio unicéntrico del Hospital Angeles Pedregal, descriptivo de una cohorte de 58 pacientes con diagnóstico de cáncer de mama de enero de 2017 a diciembre de 2019.  Resultados:  el 100% del tratamiento adyuvante por los oncólogos concordó con el sistema WFO. Veinte por ciento de las pacientes tuvo recomendación para quimioterapia adyuvante y, a su vez, 25% de estas mismas tuvieron recomendación para quimioterapia secuencial con antraciclinas.  Conclusiones:  el sistema WFO es un software que tiene alta concordancia con oncólogos expertos para sugerir tratamientos adyuvantes para pacientes con cáncer de mama.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract:  Introduction:  artificial intelligence has overcome the ability of some experts to diagnose and offer treatments with precision. It is estimated that a doctor should read more than 20 hours a day on medical literature to keep up. Watson for Oncology (WFO) system is a cognitive software designed to process sizeable medical literature focused on cancer patients and offer therapeutic options.  Objective:  to describe the concordance of adjuvant treatment for patients with breast cancer among a group of expert oncologists from Hospital Angeles Pedregal and the adjuvant treatment suggested by the Watson for Oncology system.  Material and methods:  it is a descriptive, single-center study at Hospital Angeles Pedregal, which included 58 patients diagnosed with breast cancer from January 2017 to December 2019.  Results:  adjuvant treatment by oncologists was 100% consistent with WFO system recommendations. 20% of the patients had a recommendation for adjuvant chemotherapy, and 25% had a recommendation for sequential chemotherapy with anthracyclines.  Conclusions:  the WFO system is software that has a high concordance with expert oncologists when it comes to suggesting adjuvant treatments for patients with breast cancer.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[cáncer de mama]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[oncología]]></kwd>
<kwd lng="en"><![CDATA[breast cancer]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[oncology]]></kwd>
</kwd-group>
</article-meta>
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