Mostrar el registro sencillo del ítem
dc.contributor.author
Kalweit, Gabriel
dc.contributor.author
Kalweit, Maria
dc.contributor.author
Mastroleo, Ignacio Damian
dc.contributor.author
Bödecker, Joschka
dc.contributor.author
Mertelsmann, Roland
dc.date.available
2024-03-08T11:13:50Z
dc.date.issued
2023-10
dc.identifier.citation
Kalweit, Gabriel; Kalweit, Maria; Mastroleo, Ignacio Damian; Bödecker, Joschka; Mertelsmann, Roland; Künstliche Intelligenz in der Krebstherapie; University of Freiburg; Ordnung der Wissenschaft; 1; 10-2023; 17-22
dc.identifier.issn
2197-9197
dc.identifier.uri
http://hdl.handle.net/11336/229788
dc.description.abstract
The number of computer and data-supported tools is increasing rapidly in the field of oncology. Corresponding methods are finding their way into almost all areas of application, from diagnostic systems and tumor modeling to the prognosis of disease progression. However, the sheer combinatorial complexity of this disease, which results from more potential combinations of cancerous mutations than atoms in the universe, leads to the need for individually optimized cancer treatment for each patient. The use of artificial intelligence to optimize therapeutic interventions aimed at controlling cancer within clinically meaningful limits is still a very uncharted territory that has rarely been explored beyond pure in silico experiments. In this manuscript, we explain the basics of artificial intelligence, show some applications already established today, give a vision of an AI-controlled therapeutic system and briefly discuss some general ethical considerations.
dc.format
application/pdf
dc.language.iso
deu
dc.publisher
University of Freiburg
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
CANCER MEDICAL TREATMENT
dc.subject
CANCER RESEARCH
dc.subject
MACHINE LEARNING
dc.subject
REINFORCED LEARNING
dc.subject
ETHICAL CONSIDERATIONS
dc.subject.classification
Ética
dc.subject.classification
Filosofía, Ética y Religión
dc.subject.classification
HUMANIDADES
dc.subject.classification
Ética relacionada con Biotecnología Médica
dc.subject.classification
Biotecnología de la Salud
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
dc.subject.classification
Ética Médica
dc.subject.classification
Ciencias de la Salud
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Künstliche Intelligenz in der Krebstherapie
dc.title
Artificial Intelligence in cancer therapy
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-03-06T13:19:20Z
dc.journal.number
1
dc.journal.pagination
17-22
dc.journal.pais
Alemania
dc.journal.ciudad
Freiburg Im Breisgau
dc.description.fil
Fil: Kalweit, Gabriel. Colaborative Research Inst. Inteligent Oncology Criion; Alemania. Albert Ludwigs University of Freiburg; Alemania
dc.description.fil
Fil: Kalweit, Maria. Albert Ludwigs University of Freiburg; Alemania. Colaborative Research Inst. Inteligent Oncology Criion; Alemania
dc.description.fil
Fil: Mastroleo, Ignacio Damian. Colaborative Research Inst. Inteligent Oncology Criion; Alemania. Facultad Latinoamericana de Ciencias Sociales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Bödecker, Joschka. Albert Ludwigs University of Freiburg; Alemania
dc.description.fil
Fil: Mertelsmann, Roland. Albert Ludwigs University of Freiburg; Alemania
dc.journal.title
Ordnung der Wissenschaft
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ordnungderwissenschaft.de/wp-content/uploads/2022/12/02_01_mertelsmann.pdf
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.17176/20221219-115557-0
Archivos asociados