<?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>2007-5057</journal-id>
<journal-title><![CDATA[Investigación en educación médica]]></journal-title>
<abbrev-journal-title><![CDATA[Investigación educ. médica]]></abbrev-journal-title>
<issn>2007-5057</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Medicina]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-50572025000100090</article-id>
<article-id pub-id-type="doi">10.22201/fm.20075057e.2025.53.24659</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Uso de la inteligencia artificial en la educación médica: ¿herramienta o amenaza? Revisión de alcance]]></article-title>
<article-title xml:lang="en"><![CDATA[Use of artificial intelligence in medical education: tool or threat? Scoping review]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aguirre Flórez]]></surname>
<given-names><![CDATA[Mateo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gómez González]]></surname>
<given-names><![CDATA[José Fernando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jiménez Osorio]]></surname>
<given-names><![CDATA[Laura Alejandra]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moreno Gómez]]></surname>
<given-names><![CDATA[Mateo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moreno Gómez]]></surname>
<given-names><![CDATA[Juanita]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rojas Paguanquiza]]></surname>
<given-names><![CDATA[Karla Liseth]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rojas Paguanquiza]]></surname>
<given-names><![CDATA[Donald Jehison]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Quintero Cabrera]]></surname>
<given-names><![CDATA[Yuly Mabel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pantoja Chazatar]]></surname>
<given-names><![CDATA[Lency Yurani]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moreno Gómez]]></surname>
<given-names><![CDATA[Germán Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Tecnológica de Pereira Facultad de Ciencias de la Salud Grupo de Investigación en Medicina Crítica y Cuidados Intensivos]]></institution>
<addr-line><![CDATA[Pereira Risaralda]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Clínica Santa Gracia  ]]></institution>
<addr-line><![CDATA[Popayán Cauca]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Tecnológica de Pereira  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2025</year>
</pub-date>
<volume>14</volume>
<numero>53</numero>
<fpage>90</fpage>
<lpage>106</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-50572025000100090&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-50572025000100090&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-50572025000100090&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Introducción:  La inteligencia artificial (IA) ha captado considerable atención entre las tecnologías emergentes. La IA se refiere a la capacidad de las máquinas para aprender y tomar decisiones autónomas, asemejándose a la inteligencia humana. En la formación de profesionales de la salud, la IA muestra potencial para mejorar la enseñanza y el aprendizaje.  Objetivo:  Analizar las aplicaciones de la IA en la formación de médicos, incluyendo sus beneficios, limitaciones e implicaciones éticas y sociales.  Método:  Se realizó una búsqueda en bases de datos electrónicas como PubMed, EMBASE, Web of Science y Google Scholar, utilizando términos MeSH y operadores booleanos para refinar los estudios. Se analizaron y sintetizaron los estudios seleccionados para identificar las principales aplicaciones de la IA en la formación médica y los beneficios y limitaciones asociados.  Resultados:  Se identificaron múltiples aplicaciones de la IA en la educación médica, como el aprendizaje personalizado, la retroalimentación inmediata y el fácil acceso a la información. Los beneficios incluyen mayor eficiencia y efectividad del aprendizaje. Las consideraciones éticas y precauciones incluyen el sesgo potencial, la privacidad y seguridad de los datos, la dependencia excesiva de la tecnología y los impactos en la relación médico-paciente.  Conclusión:  La IA ofrece ventajas significativas para la formación de médicos, mejorando la calidad de la educación y el tratamiento oportuno de los pacientes. Sin embargo, es importante considerar sus implicaciones. La implementación adecuada de la IA puede aprovechar sus beneficios mientras se mitigan sus riesgos. Los médicos deben estar preparados para usar la IA de manera responsable, equilibrando la tecnología con el cuidado humanista.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Introduction:  Artificial intelligence (AI) has garnered considerable attention among emerging technologies. AI refers to machines&#8217; ability to learn and make autonomous decisions, resembling human intelligence. In training healthcare professionals, AI shows the potential to enhance teaching and learning.  Objective:  To analyze the applications of AI in physician training, including its benefits, limitations, and ethical and social implications.  Method:  A search was conducted in electronic databases such as PubMed, EMBASE, Web of Science, and Google Scholar, using MeSH terms and Boolean operators to refine studies. The selected studies were analyzed and synthesized to identify the main applications of AI in medical training and the associated benefits and limitations.  Results:  Multiple AI applications in medical education were identified, such as personalized learning, immediate feedback, and easy access to information. Benefits include increased efficiency and learning effectiveness. On the other hand, ethical considerations and precautions include potential bias, data privacy and security, over-reliance on technology, and impacts on the physician-patient relationship.  Conclusion:  AI offers significant advantages for physician training, improving the quality of education and timely patient treatment. However, it is important to consider its implications. Proper implementation of AI can leverage its benefits while mitigating its risks. Physicians must be prepared to use AI responsibly, balancing technology with humanistic care.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[MeSH]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial en salud]]></kwd>
<kwd lng="es"><![CDATA[implicaciones éticas]]></kwd>
<kwd lng="es"><![CDATA[educación médica]]></kwd>
<kwd lng="en"><![CDATA[MeSH]]></kwd>
<kwd lng="en"><![CDATA[Artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence in health]]></kwd>
<kwd lng="en"><![CDATA[ethical implications]]></kwd>
<kwd lng="en"><![CDATA[medical education]]></kwd>
</kwd-group>
</article-meta>
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