Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring

Autores
Diaz Cantón, Enrique; Fernández Sande, Joaquín; Krakobsky, Vanesa; Rossi, Mario
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Artificial Intelligence (AI) is transforming the fight against breast cancer. It helps in early detection and accurate diagnosis through analysis of large volumesof medical data. It allows personalized treatments, optimizes radio-oncology, and contributes to the discovery of new drugs. AI-powered chatbots assisthealthcare professionals with administrative tasks. Although it offers great promise, ethical challenges need to be addressed and ensure that it complements,not replaces, physicians. Multidisciplinary collaboration is key to harnessing its potential in today’s medicine.
Fil: Diaz Cantón, Enrique. Centro de Educaciones Médicas e Investigación Clínica "Norberto Quirno"; Argentina
Fil: Fernández Sande, Joaquín. Centro de Educaciones Médicas e Investigación Clínica "Norberto Quirno"; Argentina
Fil: Krakobsky, Vanesa. Instituto Universidad Escuela de Medicina del Hospital Italiano; Argentina
Fil: Rossi, Mario. Universidad Austral. Facultad de Ciencias Biomédicas. Instituto de Investigaciones en Medicina Traslacional. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones en Medicina Traslacional; Argentina
Materia
Artificial Intelligence
Oncology
Radiotherapy
Natural Language Processing
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/256680
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and MonitoringDiaz Cantón, EnriqueFernández Sande, JoaquínKrakobsky, VanesaRossi, MarioArtificial IntelligenceOncologyRadiotherapyNatural Language Processinghttps://purl.org/becyt/ford/3.5https://purl.org/becyt/ford/3Artificial Intelligence (AI) is transforming the fight against breast cancer. It helps in early detection and accurate diagnosis through analysis of large volumesof medical data. It allows personalized treatments, optimizes radio-oncology, and contributes to the discovery of new drugs. AI-powered chatbots assisthealthcare professionals with administrative tasks. Although it offers great promise, ethical challenges need to be addressed and ensure that it complements,not replaces, physicians. Multidisciplinary collaboration is key to harnessing its potential in today’s medicine.Fil: Diaz Cantón, Enrique. Centro de Educaciones Médicas e Investigación Clínica "Norberto Quirno"; ArgentinaFil: Fernández Sande, Joaquín. Centro de Educaciones Médicas e Investigación Clínica "Norberto Quirno"; ArgentinaFil: Krakobsky, Vanesa. Instituto Universidad Escuela de Medicina del Hospital Italiano; ArgentinaFil: Rossi, Mario. Universidad Austral. Facultad de Ciencias Biomédicas. Instituto de Investigaciones en Medicina Traslacional. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones en Medicina Traslacional; ArgentinaScientific Research and Community2023-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/256680Diaz Cantón, Enrique; Fernández Sande, Joaquín; Krakobsky, Vanesa; Rossi, Mario; Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring; Scientific Research and Community; Journal of Cancer Research Reviews & Reports; 5; 5; 9-2023; 1-42755-0176CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.onlinescientificresearch.com/articles/aidriven-advancements-in-breast-cancer-transforming-detection-diagnosis-treatment-and-monitoring.pdfinfo:eu-repo/semantics/altIdentifier/doi/10.47363/JCRR/2023(5)178info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:51:34Zoai:ri.conicet.gov.ar:11336/256680instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:51:34.671CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring
title Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring
spellingShingle Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring
Diaz Cantón, Enrique
Artificial Intelligence
Oncology
Radiotherapy
Natural Language Processing
title_short Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring
title_full Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring
title_fullStr Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring
title_full_unstemmed Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring
title_sort Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring
dc.creator.none.fl_str_mv Diaz Cantón, Enrique
Fernández Sande, Joaquín
Krakobsky, Vanesa
Rossi, Mario
author Diaz Cantón, Enrique
author_facet Diaz Cantón, Enrique
Fernández Sande, Joaquín
Krakobsky, Vanesa
Rossi, Mario
author_role author
author2 Fernández Sande, Joaquín
Krakobsky, Vanesa
Rossi, Mario
author2_role author
author
author
dc.subject.none.fl_str_mv Artificial Intelligence
Oncology
Radiotherapy
Natural Language Processing
topic Artificial Intelligence
Oncology
Radiotherapy
Natural Language Processing
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.5
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Artificial Intelligence (AI) is transforming the fight against breast cancer. It helps in early detection and accurate diagnosis through analysis of large volumesof medical data. It allows personalized treatments, optimizes radio-oncology, and contributes to the discovery of new drugs. AI-powered chatbots assisthealthcare professionals with administrative tasks. Although it offers great promise, ethical challenges need to be addressed and ensure that it complements,not replaces, physicians. Multidisciplinary collaboration is key to harnessing its potential in today’s medicine.
Fil: Diaz Cantón, Enrique. Centro de Educaciones Médicas e Investigación Clínica "Norberto Quirno"; Argentina
Fil: Fernández Sande, Joaquín. Centro de Educaciones Médicas e Investigación Clínica "Norberto Quirno"; Argentina
Fil: Krakobsky, Vanesa. Instituto Universidad Escuela de Medicina del Hospital Italiano; Argentina
Fil: Rossi, Mario. Universidad Austral. Facultad de Ciencias Biomédicas. Instituto de Investigaciones en Medicina Traslacional. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones en Medicina Traslacional; Argentina
description Artificial Intelligence (AI) is transforming the fight against breast cancer. It helps in early detection and accurate diagnosis through analysis of large volumesof medical data. It allows personalized treatments, optimizes radio-oncology, and contributes to the discovery of new drugs. AI-powered chatbots assisthealthcare professionals with administrative tasks. Although it offers great promise, ethical challenges need to be addressed and ensure that it complements,not replaces, physicians. Multidisciplinary collaboration is key to harnessing its potential in today’s medicine.
publishDate 2023
dc.date.none.fl_str_mv 2023-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/256680
Diaz Cantón, Enrique; Fernández Sande, Joaquín; Krakobsky, Vanesa; Rossi, Mario; Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring; Scientific Research and Community; Journal of Cancer Research Reviews & Reports; 5; 5; 9-2023; 1-4
2755-0176
CONICET Digital
CONICET
url http://hdl.handle.net/11336/256680
identifier_str_mv Diaz Cantón, Enrique; Fernández Sande, Joaquín; Krakobsky, Vanesa; Rossi, Mario; Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring; Scientific Research and Community; Journal of Cancer Research Reviews & Reports; 5; 5; 9-2023; 1-4
2755-0176
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.onlinescientificresearch.com/articles/aidriven-advancements-in-breast-cancer-transforming-detection-diagnosis-treatment-and-monitoring.pdf
info:eu-repo/semantics/altIdentifier/doi/10.47363/JCRR/2023(5)178
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Scientific Research and Community
publisher.none.fl_str_mv Scientific Research and Community
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269103099740160
score 13.13397

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