Integration of artificial intelligence and precision oncology in Latin America
Next-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 socioeconomica...
- Autores:
-
Sussman, Liliana
García-Robledo, Juan Esteban
Ordóñez-Reyes, Camila
Forero, Yency
Mosquera, Andrés F.
Ruíz-Patiño, Alejandro
Chamorro, Diego F.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Universidad El Bosque
- Repositorio:
- Repositorio U. El Bosque
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unbosque.edu.co:20.500.12495/11152
- Acceso en línea:
- http://hdl.handle.net/20.500.12495/11152
https://doi.org/10.3389/fmedt.2022.1007822
- Palabra clave:
- Inteligencia artificial
Latinoamérica
Oncología
Oncología de precisión
Tecnología
Artificial intelligence
Latin America
Oncology
Precision oncology
Technology
- Rights
- openAccess
- License
- Atribución 4.0 Internacional
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Integration of artificial intelligence and precision oncology in Latin America |
| title |
Integration of artificial intelligence and precision oncology in Latin America |
| spellingShingle |
Integration of artificial intelligence and precision oncology in Latin America Inteligencia artificial Latinoamérica Oncología Oncología de precisión Tecnología Artificial intelligence Latin America Oncology Precision oncology Technology |
| title_short |
Integration of artificial intelligence and precision oncology in Latin America |
| title_full |
Integration of artificial intelligence and precision oncology in Latin America |
| title_fullStr |
Integration of artificial intelligence and precision oncology in Latin America |
| title_full_unstemmed |
Integration of artificial intelligence and precision oncology in Latin America |
| title_sort |
Integration of artificial intelligence and precision oncology in Latin America |
| dc.creator.fl_str_mv |
Sussman, Liliana García-Robledo, Juan Esteban Ordóñez-Reyes, Camila Forero, Yency Mosquera, Andrés F. Ruíz-Patiño, Alejandro Chamorro, Diego F. |
| dc.contributor.author.none.fl_str_mv |
Sussman, Liliana García-Robledo, Juan Esteban Ordóñez-Reyes, Camila Forero, Yency Mosquera, Andrés F. Ruíz-Patiño, Alejandro Chamorro, Diego F. |
| dc.subject.spa.fl_str_mv |
Inteligencia artificial Latinoamérica Oncología Oncología de precisión Tecnología |
| topic |
Inteligencia artificial Latinoamérica Oncología Oncología de precisión Tecnología Artificial intelligence Latin America Oncology Precision oncology Technology |
| dc.subject.keywords.spa.fl_str_mv |
Artificial intelligence Latin America Oncology Precision oncology Technology |
| description |
Next-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. |
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2022 |
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2022 |
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2023-07-25T17:06:26Z |
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2023-07-25T17:06:26Z |
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https://doi.org/10.3389/fmedt.2022.1007822 |
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http://hdl.handle.net/20.500.12495/11152 https://doi.org/10.3389/fmedt.2022.1007822 |
| dc.language.iso.none.fl_str_mv |
eng |
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eng |
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Frontiers in Medical Technology |
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https://www.frontiersin.org/articles/10.3389/fmedt.2022.1007822/full |
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Atribución 4.0 Internacional |
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Frontiers in Medical Technology |
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Sussman, LilianaGarcía-Robledo, Juan EstebanOrdóñez-Reyes, CamilaForero, YencyMosquera, Andrés F.Ruíz-Patiño, AlejandroChamorro, Diego F.2023-07-25T17:06:26Z2023-07-25T17:06:26Z20222673-3129http://hdl.handle.net/20.500.12495/11152https://doi.org/10.3389/fmedt.2022.1007822instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coapplication/pdfengFrontiers in Medical TechnologyFrontiers in Medical Technology, 2673-3129, 4, 2022, 1-12Frontiers in Medical Technologyhttps://www.frontiersin.org/articles/10.3389/fmedt.2022.1007822/fullAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Acceso abiertohttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessInteligencia artificialLatinoaméricaOncologíaOncología de precisiónTecnologíaArtificial intelligenceLatin AmericaOncologyPrecision oncologyTechnologyIntegration of artificial intelligence and precision oncology in Latin AmericaArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85Next-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. 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