<?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>0016-3813</journal-id>
<journal-title><![CDATA[Gaceta médica de México]]></journal-title>
<abbrev-journal-title><![CDATA[Gac. Méd. Méx]]></abbrev-journal-title>
<issn>0016-3813</issn>
<publisher>
<publisher-name><![CDATA[Academia Nacional de Medicina de México A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0016-38132022001100017</article-id>
<article-id pub-id-type="doi">10.24875/gmm.m22000688</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Inteligencia artificial en medicina: presente y futuro]]></article-title>
<article-title xml:lang="en"><![CDATA[Artificial intelligence in medicine: present and future]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lanzagorta-Ortega]]></surname>
<given-names><![CDATA[Dioselina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Carrillo-Pérez]]></surname>
<given-names><![CDATA[Diego L.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Carrillo-Esper]]></surname>
<given-names><![CDATA[Raúl]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Tecnológico y de Estudios Superiores de Monterrey Escuela de Medicina y Ciencias de la Salud ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<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="Af3">
<institution><![CDATA[,Academia Nacional de Medicina de México  ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2022</year>
</pub-date>
<volume>158</volume>
<fpage>17</fpage>
<lpage>21</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0016-38132022001100017&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0016-38132022001100017&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0016-38132022001100017&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La inteligencia artificial (IA) promete una transformación significativa del cuidado de la salud en todas las áreas médicas, lo que podría representar el «momento Gutenberg» para la medicina. El futuro de las especialidades médicas dependerá en gran medida de la interacción humana y la creatividad, obligando a los médicos a evolucionar y emplear la IA como una herramienta en la atención del enfermo. La IA ofrecerá a los pacientes seguridad, autonomía y posibilidad de atención médica oportuna en zonas de difícil acceso, y a los médicos les ayudará a disminuir la carga administrativa, el tiempo en pantallas y el agotamiento profesional. La IA permitirá también reducir la frecuencia de errores médicos y mejorar la precisión diagnóstica a través de la integración, el análisis y la interpretación de información por algoritmos y software. La automatización de actividades repetitivas liberará tiempo al personal de salud y potencialmente mejorará la relación médico-paciente, regresando a la atención personalizada y la interacción con el enfermo, a través del acompañamiento, la comunicación, la empatía y la confianza durante la enfermedad, actividades que nunca serán reemplazadas por la IA. Aún es necesario estandarizar la investigación en el área, que permita mejorar la calidad de la evidencia científica conociendo sus ventajas y riesgos, y acelerar su implementación en la práctica médica actual.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Artificial intelligence (AI) promises a significant transformation of health care in all medical areas, which could represent &#8220;Gutenberg moment&#8221; for medicine. The future of medical specialties came largely from human interaction and creativity, forcing physicians to evolve and use AI as a tool in patient care. AI will offer patients safety, autonomy, and access to timely medical care in hard-to-reach areas while reducing administrative burden, screen time, and professional burnout for physicians. AI will also make it possible to reduce the frequency of medical errors and improve diagnostic accuracy through the integration, analysis, and interpretation of information by algorithms and software. The safety of repetitive activities will free up time for health personnel and will enhance the doctor-patient relationship, return to personalized attention and interaction with the patient, through accompaniment, communication, empathy, and trust during illness, activities that will never be replaced by AI. It is still necessary to standardize research in the area, which allows improving the quality of scientific evidence knowing its advantages and risks, accelerating its implementation in current medical practice.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[Cuidado del paciente]]></kwd>
<kwd lng="es"><![CDATA[Educación médica]]></kwd>
<kwd lng="es"><![CDATA[Errores médicos]]></kwd>
<kwd lng="es"><![CDATA[Medicina de precisión]]></kwd>
<kwd lng="en"><![CDATA[Artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[Patient care]]></kwd>
<kwd lng="en"><![CDATA[Medical education]]></kwd>
<kwd lng="en"><![CDATA[Medical errors]]></kwd>
<kwd lng="en"><![CDATA[Precision medicine]]></kwd>
</kwd-group>
</article-meta>
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