<?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>2594-2166</journal-id>
<journal-title><![CDATA[Medicina y ética]]></journal-title>
<abbrev-journal-title><![CDATA[Med. ética]]></abbrev-journal-title>
<issn>2594-2166</issn>
<publisher>
<publisher-name><![CDATA[Universidad Anáhuac México, Facultad de Bioética]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2594-21662024000401137</article-id>
<article-id pub-id-type="doi">10.36105/mye.2024v35n4.05</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Reflexiones éticas del impacto y desafíos de la inteligencia artificial en la medicina de laboratorio]]></article-title>
<article-title xml:lang="en"><![CDATA[Ethical reflections on the impact and challenges of artificial intelligence in laboratory medicine]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Román Collazo]]></surname>
<given-names><![CDATA[Carlos Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Brenner]]></surname>
<given-names><![CDATA[Jonathan]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Andrade Campoverde]]></surname>
<given-names><![CDATA[Diego]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,MEDsan Inc.  ]]></institution>
<addr-line><![CDATA[Saint Petersburg Florida]]></addr-line>
<country>Estados Unidos</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,MEDsan Inc.  ]]></institution>
<addr-line><![CDATA[Saint Petersburg Florida]]></addr-line>
<country>Estados Unidos</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Católica de Cuenca  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Ecuador</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>35</volume>
<numero>4</numero>
<fpage>1137</fpage>
<lpage>1193</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2594-21662024000401137&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2594-21662024000401137&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2594-21662024000401137&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El uso de la Inteligencia artificial (IA) en la Medicina de laboratorio (ML) ha provocado un salto cualitativo en el diagnóstico de enfermedades que aquejan al ser humano. El desarrollo de robots para la medición, cálculo y predicción ha aumentado la confiabilidad, validez y reproducibilidad de las pruebas diagnósticas con IA, induciendo a una fácil elección de dicha tecnología en el laboratorio clínico. Sin embargo, la IA en la ML entraña una serie de reflexiones éticas que deben considerarse. La incipiente tecnología en desarrollo, la presencia de sesgos cognitivos en los algoritmos y datos, la incertidumbre del funcionamiento del robot, las limitaciones tecnológicas, la amenaza a la privacidad y la ausencia de un marco legal abren conflictos éticos que laceran la equidad, la seguridad y la autonomía del hombre. El imperativo tecnológico de la IA en la ML no debe superar la responsabilidad, ni atentar contra la dignidad de la persona.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The use of artificial intelligence (AI) in laboratory medicine (LM) has led to a qualitative leap in the diagnosis of diseases that afflict humans. The development of robots for measurement, calculation and prediction has increased the reliability, validity and reproducibility of AI diagnostic tests, leading to an easy choice of such technology in the clinical laboratory. However, AI in LM entails several ethical reflections that need to be considered. The incipient technology under development, the presence of cognitive biases in algorithms and data, the uncertainty of robot performance, technological limitations, the threat to privacy, and the absence of a legal framework open ethical conflicts that lacerate human equity, safety, and autonomy. The technological imperative of AI in LM must not overcome responsibility, nor infringe on the dignity of the person.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[laboratorio clínico]]></kwd>
<kwd lng="es"><![CDATA[diagnóstico]]></kwd>
<kwd lng="es"><![CDATA[responsabilidad]]></kwd>
<kwd lng="es"><![CDATA[precaución]]></kwd>
<kwd lng="es"><![CDATA[moral]]></kwd>
<kwd lng="es"><![CDATA[tecnología]]></kwd>
<kwd lng="en"><![CDATA[clinical laboratory]]></kwd>
<kwd lng="en"><![CDATA[diagnosis]]></kwd>
<kwd lng="en"><![CDATA[liability]]></kwd>
<kwd lng="en"><![CDATA[precaution]]></kwd>
<kwd lng="en"><![CDATA[morality]]></kwd>
<kwd lng="en"><![CDATA[technology]]></kwd>
</kwd-group>
</article-meta>
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