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dc.contributor.author
Diaz Cantón, Enrique
dc.contributor.author
Fernández Sande, Joaquín
dc.contributor.author
Krakobsky, Vanesa
dc.contributor.author
Rossi, Mario
dc.date.available
2025-03-20T13:50:16Z
dc.date.issued
2023-09
dc.identifier.citation
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
dc.identifier.uri
http://hdl.handle.net/11336/256680
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Scientific Research and Community
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Artificial Intelligence
dc.subject
Oncology
dc.subject
Radiotherapy
dc.subject
Natural Language Processing
dc.subject.classification
Otras Ciencias Médicas
dc.subject.classification
Otras Ciencias Médicas
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Ai-Driven Advancements in Breast Cancer: Transforming Detection, Diagnosis, Treatment, and Monitoring
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-11-25T11:08:49Z
dc.identifier.eissn
2755-0176
dc.journal.volume
5
dc.journal.number
5
dc.journal.pagination
1-4
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Diaz Cantón, Enrique. Centro de Educaciones Médicas e Investigación Clínica "Norberto Quirno"; Argentina
dc.description.fil
Fil: Fernández Sande, Joaquín. Centro de Educaciones Médicas e Investigación Clínica "Norberto Quirno"; Argentina
dc.description.fil
Fil: Krakobsky, Vanesa. Instituto Universidad Escuela de Medicina del Hospital Italiano; Argentina
dc.description.fil
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
dc.journal.title
Journal of Cancer Research Reviews & Reports
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.onlinescientificresearch.com/articles/aidriven-advancements-in-breast-cancer-transforming-detection-diagnosis-treatment-and-monitoring.pdf
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.47363/JCRR/2023(5)178
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