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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...

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Autores principales: Sussman, Liliana, Garcia-Robledo, Juan Esteban, Ordóñez-Reyes, Camila, Forero, Yency, Mosquera, Andrés F., Ruíz-Patiño, Alejandro, Chamorro, Diego F., Cardona, Andrés F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608820/
https://www.ncbi.nlm.nih.gov/pubmed/36311461
http://dx.doi.org/10.3389/fmedt.2022.1007822
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author Sussman, Liliana
Garcia-Robledo, Juan Esteban
Ordóñez-Reyes, Camila
Forero, Yency
Mosquera, Andrés F.
Ruíz-Patiño, Alejandro
Chamorro, Diego F.
Cardona, Andrés F.
author_facet Sussman, Liliana
Garcia-Robledo, Juan Esteban
Ordóñez-Reyes, Camila
Forero, Yency
Mosquera, Andrés F.
Ruíz-Patiño, Alejandro
Chamorro, Diego F.
Cardona, Andrés F.
author_sort Sussman, Liliana
collection PubMed
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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spelling pubmed-96088202022-10-28 Integration of artificial intelligence and precision oncology in Latin America Sussman, Liliana Garcia-Robledo, Juan Esteban Ordóñez-Reyes, Camila Forero, Yency Mosquera, Andrés F. Ruíz-Patiño, Alejandro Chamorro, Diego F. Cardona, Andrés F. Front Med Technol Medical Technology 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. Frontiers Media S.A. 2022-10-13 /pmc/articles/PMC9608820/ /pubmed/36311461 http://dx.doi.org/10.3389/fmedt.2022.1007822 Text en © 2022 Sussman, Garcia-Robledo, Ordóñez-Reyes, Forero, Mosquera, Ruíz-Patiño, Chamorro and Cardona. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medical Technology
Sussman, Liliana
Garcia-Robledo, Juan Esteban
Ordóñez-Reyes, Camila
Forero, Yency
Mosquera, Andrés F.
Ruíz-Patiño, Alejandro
Chamorro, Diego F.
Cardona, Andrés F.
Integration of artificial intelligence and precision oncology in Latin America
title 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_short Integration of artificial intelligence and precision oncology in Latin America
title_sort integration of artificial intelligence and precision oncology in latin america
topic Medical Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608820/
https://www.ncbi.nlm.nih.gov/pubmed/36311461
http://dx.doi.org/10.3389/fmedt.2022.1007822
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