Integration of artificial intelligence and precision oncology in Latin America

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dc.contributor.authorSussman, Liliana
dc.contributor.authorGarcía-Robledo, Juan Esteban
dc.contributor.authorOrdóñez-Reyes, Camila
dc.contributor.authorForero, Yency
dc.contributor.authorMosquera, Andrés F.
dc.contributor.authorRuíz-Patiño, Alejandro
dc.contributor.authorChamorro, Diego F.
dc.date.accessioned2023-07-25T17:06:26Z
dc.date.available2023-07-25T17:06:26Z
dc.date.issued2022
dc.description.abstractenglishNext-generation medicine encompasses different concepts related to healthcare models and technological developments. In Latin America and the Caribbean, healthcare systems are quite different between countries, and cancer control is known to be insufficient and inefficient considering socioeconomically discrepancies. Despite advancements in knowledge about the biology of different oncological diseases, the disease remains a challenge in terms of diagnosis, treatment, and prognosis for clinicians and researchers. With the development of molecular biology, better diagnosis methods, and therapeutic tools in the last years, artificial intelligence (AI) has become important, because it could improve different clinical scenarios: predicting clinically relevant parameters, cancer diagnosis, cancer research, and accelerating the growth of personalized medicine. The incorporation of AI represents an important challenge in terms of diagnosis, treatment, and prognosis for clinicians and researchers in cancer care. Therefore, some studies about AI in Latin America and the Caribbean are being conducted with the aim to improve the performance of AI in those countries. This review introduces AI in cancer care in Latin America and the Caribbean, and the advantages and promising results that it has shown in this socio-demographic context.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.3389/fmedt.2022.1007822
dc.identifier.instnameinstname:Universidad El Bosquespa
dc.identifier.issn2673-3129
dc.identifier.reponamereponame:Repositorio Institucional Universidad El Bosquespa
dc.identifier.repourlrepourl:https://repositorio.unbosque.edu.co
dc.identifier.urihttps://hdl.handle.net/20.500.12495/11152
dc.language.isoeng
dc.publisherFrontiers in Medical Technologyspa
dc.publisher.journalFrontiers in Medical Technology, 2673-3129, 4, 2022, 1-12spa
dc.relation.ispartofseriesFrontiers in Medical Technologyspa
dc.relation.urihttps://www.frontiersin.org/articles/10.3389/fmedt.2022.1007822/full
dc.rightsAtribución 4.0 Internacional*
dc.rights.accessrightshttps://purl.org/coar/access_right/c_abf2
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.localAcceso abiertospa
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectInteligencia artificialspa
dc.subjectLatinoaméricaspa
dc.subjectOncologíaspa
dc.subjectOncología de precisiónspa
dc.subjectTecnologíaspa
dc.subject.keywordsArtificial intelligencespa
dc.subject.keywordsLatin Americaspa
dc.subject.keywordsOncologyspa
dc.subject.keywordsPrecision oncologyspa
dc.subject.keywordsTechnologyspa
dc.titleIntegration of artificial intelligence and precision oncology in Latin Americaspa
dc.type.coarhttps://purl.org/coar/resource_type/c_6501
dc.type.coarversionhttps://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driverinfo:eu-repo/semantics/article
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.localArtículo de revista

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