Uso de grandes modelos de lenguaje para realizar diagnósticos clínicos: desde el principio de precaución

El avance de la inteligencia artificial (IA) y sus grandes modelos de lenguaje en medicina, especialmente en diagnóstico clínico, plantea disyuntivas y desconciertos que no deben dejarse a un lado y exigen un análisis desde una perspectiva bioética. Estas herramientas prometen mejorar la precisión d...

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Autores:
Rincón Arenas, Paula Steffany
Tipo de recurso:
https://purl.org/coar/resource_type/c_7a1f
Fecha de publicación:
2024
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
spa
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/13868
Acceso en línea:
https://hdl.handle.net/20.500.12495/13868
Palabra clave:
Bioética
Principio de precaución
Inteligencia artificial
Diagnóstico clínico
Incertidumbre
Bioethics
Precautionary principle
Artificial intelligence
Clinical diagnosis
Uncertainty
WB60
Rights
License
Attribution-NonCommercial-ShareAlike 4.0 International
id UNBOSQUE2_6e22505f7d60e0c72273704d87b1e041
oai_identifier_str oai:repositorio.unbosque.edu.co:20.500.12495/13868
network_acronym_str UNBOSQUE2
network_name_str Repositorio U. El Bosque
repository_id_str
dc.title.none.fl_str_mv Uso de grandes modelos de lenguaje para realizar diagnósticos clínicos: desde el principio de precaución
dc.title.translated.none.fl_str_mv Using Large Language Models to Make Clinical Diagnoses: From the Precautionary Principle
title Uso de grandes modelos de lenguaje para realizar diagnósticos clínicos: desde el principio de precaución
spellingShingle Uso de grandes modelos de lenguaje para realizar diagnósticos clínicos: desde el principio de precaución
Bioética
Principio de precaución
Inteligencia artificial
Diagnóstico clínico
Incertidumbre
Bioethics
Precautionary principle
Artificial intelligence
Clinical diagnosis
Uncertainty
WB60
title_short Uso de grandes modelos de lenguaje para realizar diagnósticos clínicos: desde el principio de precaución
title_full Uso de grandes modelos de lenguaje para realizar diagnósticos clínicos: desde el principio de precaución
title_fullStr Uso de grandes modelos de lenguaje para realizar diagnósticos clínicos: desde el principio de precaución
title_full_unstemmed Uso de grandes modelos de lenguaje para realizar diagnósticos clínicos: desde el principio de precaución
title_sort Uso de grandes modelos de lenguaje para realizar diagnósticos clínicos: desde el principio de precaución
dc.creator.fl_str_mv Rincón Arenas, Paula Steffany
dc.contributor.advisor.none.fl_str_mv Tellez Alarcon, Manuela
dc.contributor.author.none.fl_str_mv Rincón Arenas, Paula Steffany
dc.contributor.orcid.none.fl_str_mv Rincón Arenas, Paula Steffany [0009-0008-8445-9738]
dc.subject.none.fl_str_mv Bioética
Principio de precaución
Inteligencia artificial
Diagnóstico clínico
Incertidumbre
topic Bioética
Principio de precaución
Inteligencia artificial
Diagnóstico clínico
Incertidumbre
Bioethics
Precautionary principle
Artificial intelligence
Clinical diagnosis
Uncertainty
WB60
dc.subject.keywords.none.fl_str_mv Bioethics
Precautionary principle
Artificial intelligence
Clinical diagnosis
Uncertainty
dc.subject.nlm.none.fl_str_mv WB60
description El avance de la inteligencia artificial (IA) y sus grandes modelos de lenguaje en medicina, especialmente en diagnóstico clínico, plantea disyuntivas y desconciertos que no deben dejarse a un lado y exigen un análisis desde una perspectiva bioética. Estas herramientas prometen mejorar la precisión diagnóstica y optimizar recursos, pero también generan incertidumbre y preocupaciones bioéticas y legales. En este contexto, se debe evaluar el principio de precaución, el cual plantea actuar frente a posibles riesgos significativos o irreparables, incluso sin certeza completa de estos. A través de un ensayo crítico, se propone identificar condiciones necesarias para integrar estas herramientas de forma segura y responsable, priorizando el principio de precaución. Se destaca un enfoque prudente que equilibre la innovación tecnológica con la seguridad del paciente y los valores fundamentales en la medicina actual.
publishDate 2024
dc.date.issued.none.fl_str_mv 2024-11
dc.date.accessioned.none.fl_str_mv 2025-02-06T21:04:59Z
dc.date.available.none.fl_str_mv 2025-02-06T21:04:59Z
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_7a1f
dc.type.local.spa.fl_str_mv Tesis/Trabajo de grado - Monografía - Especialización
dc.type.coar.none.fl_str_mv https://purl.org/coar/resource_type/c_7a1f
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.coarversion.none.fl_str_mv https://purl.org/coar/version/c_ab4af688f83e57aa
format https://purl.org/coar/resource_type/c_7a1f
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12495/13868
dc.identifier.instname.spa.fl_str_mv instname:Universidad El Bosque
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Universidad El Bosque
dc.identifier.repourl.none.fl_str_mv repourl:https://repositorio.unbosque.edu.co
url https://hdl.handle.net/20.500.12495/13868
identifier_str_mv instname:Universidad El Bosque
reponame:Repositorio Institucional Universidad El Bosque
repourl:https://repositorio.unbosque.edu.co
dc.language.iso.fl_str_mv spa
language spa
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spelling Tellez Alarcon, ManuelaRincón Arenas, Paula SteffanyRincón Arenas, Paula Steffany [0009-0008-8445-9738]2025-02-06T21:04:59Z2025-02-06T21:04:59Z2024-11https://hdl.handle.net/20.500.12495/13868instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coEl avance de la inteligencia artificial (IA) y sus grandes modelos de lenguaje en medicina, especialmente en diagnóstico clínico, plantea disyuntivas y desconciertos que no deben dejarse a un lado y exigen un análisis desde una perspectiva bioética. Estas herramientas prometen mejorar la precisión diagnóstica y optimizar recursos, pero también generan incertidumbre y preocupaciones bioéticas y legales. En este contexto, se debe evaluar el principio de precaución, el cual plantea actuar frente a posibles riesgos significativos o irreparables, incluso sin certeza completa de estos. A través de un ensayo crítico, se propone identificar condiciones necesarias para integrar estas herramientas de forma segura y responsable, priorizando el principio de precaución. Se destaca un enfoque prudente que equilibre la innovación tecnológica con la seguridad del paciente y los valores fundamentales en la medicina actual.Especialista en BioéticaEspecializaciónThe advance of artificial intelligence (AI) and its large language models in medicine, especially in clinical diagnosis, raises dilemmas and confusion that should not be left aside and require an analysis from a bioethical perspective. These tools promise to improve diagnostic accuracy and optimize resources, but they also generate uncertainty and bioethical and legal concerns. In this context, the precautionary principle must be evaluated, which proposes acting against possible significant or irreparable risks, even without complete certainty of these. Through a critical test, it is proposed to identify necessary conditions to integrate these tools in a safe and responsible manner, prioritizing the precautionary principle. A prudent approach that balances technological innovation with patient safety and fundamental values ​​in today's medicine is highlighted.application/pdfAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/Acceso abiertohttps://purl.org/coar/access_right/c_abf2http://purl.org/coar/access_right/c_abf2BioéticaPrincipio de precauciónInteligencia artificialDiagnóstico clínicoIncertidumbreBioethicsPrecautionary principleArtificial intelligenceClinical diagnosisUncertaintyWB60Uso de grandes modelos de lenguaje para realizar diagnósticos clínicos: desde el principio de precauciónUsing Large Language Models to Make Clinical Diagnoses: From the Precautionary PrincipleEspecialización en BioéticaUniversidad El BosqueDepartamento de BioéticaTesis/Trabajo de grado - Monografía - Especializaciónhttps://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/bachelorThesishttps://purl.org/coar/version/c_ab4af688f83e57aaAamodt, A.E, & Plaza E. 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