<?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>0864-3466</journal-id>
<journal-title><![CDATA[Revista Cubana de Salud Pública]]></journal-title>
<abbrev-journal-title><![CDATA[Rev Cub Sal Públ]]></abbrev-journal-title>
<issn>0864-3466</issn>
<publisher>
<publisher-name><![CDATA[Editorial Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0864-34662022000400012</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Inteligencia artificial en medicina y procedimientos quirúrgicos: impacto en la toma de decisiones y la salud]]></article-title>
<article-title xml:lang="en"><![CDATA[Artificial Intelligence in Medicine and Surgical Procedures: Impact on Decision Making and Health]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Blanchar Martinez]]></surname>
<given-names><![CDATA[Tania María]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pio de la Hoz Restrepo]]></surname>
<given-names><![CDATA[Fernando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional de Colombia Facultad de Medicina Departamento de Salud Pública. Epidemiología y Evaluación en Salud Pública. Colegio Colombiano de Instrumentación Quirúrgica.]]></institution>
<addr-line><![CDATA[ Bogotá]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional de Colombia Facultad de Medicina Departamento de Salud Pública. Epidemiología y Evaluación en Salud Pública]]></institution>
<addr-line><![CDATA[ Bogotá]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>48</volume>
<numero>4</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0864-34662022000400012&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S0864-34662022000400012&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S0864-34662022000400012&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción: Las revisiones sistemáticas de la literatura constituyen una herramienta metodológica práctica para la búsqueda de información sobre investigaciones clínicas, aplicaciones tecnológicas y la toma de decisiones de impacto en la salud.  Objetivo: Describir cómo influye la inteligencia artificial en la toma de decisiones médicas según el grado de concordancia entre estas evidencias y los sistemas expertos aplicados en las especialidades clínicas y quirúrgicas de impacto en la salud, según reportes entre 2010 y 2019.  Métodos: Se realizó una revisión sistemática con el uso de un modelo de bases de datos relacional y un modelo de entidad relación para garantizar la entidad referencial de la que hacen parte las bases de datos y los artículos, así como la calidad de cada uno de los artículos mediante clasificación por grados de concordancia entre &#8220;muy concordante&#8221; o &#8220;no concordante&#8221; con la temática de interés y la toma de decisiones de impacto en la salud.  Conclusiones:  Las aplicaciones como los sistemas expertos, los aprendizajes de máquinas y la robótica aportan innovación a las instituciones y un cambio revolucionario en lo académico, clínico y epidemiológico.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction:  Systematic reviews of the literature constitute a practical methodological tool for the search of information on clinical research, technological applications and health impact decision-making.  Objectives:  To describe how artificial intelligence influences medical decision-making according to the degree of agreement between this evidence and the expert systems applied in clinical and surgical specialties with an impact on health, according to reports from 2010 to 2019.  Methods:  A systematic review was conducted with the use of a relational database model and a relationship entity model to guarantee the referential entity of which the databases and articles are part, as well as the quality of each of the articles classified by degrees of agreement between "very concordant" or "not concordant" with the topic of interest and the decision making of impact on health.  Conclusions:  Applications such as expert systems, machine learning and robotics bring innovation to institutions and a revolutionary change in academic, clinical and epidemiological areas.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[medicina, especialidades quirúrgicas]]></kwd>
<kwd lng="es"><![CDATA[procedimientos quirúrgicos]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[medicine]]></kwd>
<kwd lng="en"><![CDATA[surgical specialties]]></kwd>
<kwd lng="en"><![CDATA[surgical procedures]]></kwd>
</kwd-group>
</article-meta>
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