Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine

Autores
Ullah M.; Akbar A.; Yannarelli, Gustavo Gabriel
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to convert raw input data into decision-making actions, like humans. AI programs are designed to make decisions, often using deep learning and computer-guided programs that analyze and process raw data into clinical decision making for effective treatment. New techniques for predicting cancer at an early stage are needed as conventional methods have poor accuracy and are not applicable to personalized medicine. AI has the potential to use smart, intelligent computer systems for image interpretation and early diagnosis of cancer. AI has been changing almost all the areas of the medical field by integrating with new emerging technologies. AI has revolutionized the entire health care system through innovative digital diagnostics with greater precision and accuracy. AI is capable of detecting cancer at an early stage with accurate diagnosis and improved survival outcomes. AI is an innovative technology of the future that can be used for early prediction, diagnosis and treatment of cancer.
Fil: Ullah M.. University of Stanford; Estados Unidos
Fil: Akbar A.. University of Stanford; Estados Unidos
Fil: Yannarelli, Gustavo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Medicina Traslacional, Trasplante y Bioingeniería. Fundación Favaloro. Instituto de Medicina Traslacional, Trasplante y Bioingeniería; Argentina
Materia
ARTIFICIAL INTELLIGENCE
CANCER
CLINICAL TUMOR PREDICTION
PERSONALIZED MEDICINE
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:11336/131511
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicineUllah M.Akbar A.Yannarelli, Gustavo GabrielARTIFICIAL INTELLIGENCECANCERCLINICAL TUMOR PREDICTIONPERSONALIZED MEDICINEhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to convert raw input data into decision-making actions, like humans. AI programs are designed to make decisions, often using deep learning and computer-guided programs that analyze and process raw data into clinical decision making for effective treatment. New techniques for predicting cancer at an early stage are needed as conventional methods have poor accuracy and are not applicable to personalized medicine. AI has the potential to use smart, intelligent computer systems for image interpretation and early diagnosis of cancer. AI has been changing almost all the areas of the medical field by integrating with new emerging technologies. AI has revolutionized the entire health care system through innovative digital diagnostics with greater precision and accuracy. AI is capable of detecting cancer at an early stage with accurate diagnosis and improved survival outcomes. AI is an innovative technology of the future that can be used for early prediction, diagnosis and treatment of cancer.Fil: Ullah M.. University of Stanford; Estados UnidosFil: Akbar A.. University of Stanford; Estados UnidosFil: Yannarelli, Gustavo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Medicina Traslacional, Trasplante y Bioingeniería. Fundación Favaloro. Instituto de Medicina Traslacional, Trasplante y Bioingeniería; ArgentinaBaishideng Publishing2020-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/131511Ullah M.; Akbar A.; Yannarelli, Gustavo Gabriel; Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine; Baishideng Publishing; Artificial Intelligence in Cancer; 1; 8-2020; 39-442644-3228CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.35713/aic.v1.i2.39info:eu-repo/semantics/altIdentifier/url/https://www.wjgnet.com/2644-3228/full/v1/i2/39.htminfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:22:34Zoai:ri.conicet.gov.ar:11336/131511instacron: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:34982025-09-29 10:22:35.086CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine
title Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine
spellingShingle Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine
Ullah M.
ARTIFICIAL INTELLIGENCE
CANCER
CLINICAL TUMOR PREDICTION
PERSONALIZED MEDICINE
title_short Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine
title_full Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine
title_fullStr Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine
title_full_unstemmed Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine
title_sort Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine
dc.creator.none.fl_str_mv Ullah M.
Akbar A.
Yannarelli, Gustavo Gabriel
author Ullah M.
author_facet Ullah M.
Akbar A.
Yannarelli, Gustavo Gabriel
author_role author
author2 Akbar A.
Yannarelli, Gustavo Gabriel
author2_role author
author
dc.subject.none.fl_str_mv ARTIFICIAL INTELLIGENCE
CANCER
CLINICAL TUMOR PREDICTION
PERSONALIZED MEDICINE
topic ARTIFICIAL INTELLIGENCE
CANCER
CLINICAL TUMOR PREDICTION
PERSONALIZED MEDICINE
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to convert raw input data into decision-making actions, like humans. AI programs are designed to make decisions, often using deep learning and computer-guided programs that analyze and process raw data into clinical decision making for effective treatment. New techniques for predicting cancer at an early stage are needed as conventional methods have poor accuracy and are not applicable to personalized medicine. AI has the potential to use smart, intelligent computer systems for image interpretation and early diagnosis of cancer. AI has been changing almost all the areas of the medical field by integrating with new emerging technologies. AI has revolutionized the entire health care system through innovative digital diagnostics with greater precision and accuracy. AI is capable of detecting cancer at an early stage with accurate diagnosis and improved survival outcomes. AI is an innovative technology of the future that can be used for early prediction, diagnosis and treatment of cancer.
Fil: Ullah M.. University of Stanford; Estados Unidos
Fil: Akbar A.. University of Stanford; Estados Unidos
Fil: Yannarelli, Gustavo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Medicina Traslacional, Trasplante y Bioingeniería. Fundación Favaloro. Instituto de Medicina Traslacional, Trasplante y Bioingeniería; Argentina
description Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to convert raw input data into decision-making actions, like humans. AI programs are designed to make decisions, often using deep learning and computer-guided programs that analyze and process raw data into clinical decision making for effective treatment. New techniques for predicting cancer at an early stage are needed as conventional methods have poor accuracy and are not applicable to personalized medicine. AI has the potential to use smart, intelligent computer systems for image interpretation and early diagnosis of cancer. AI has been changing almost all the areas of the medical field by integrating with new emerging technologies. AI has revolutionized the entire health care system through innovative digital diagnostics with greater precision and accuracy. AI is capable of detecting cancer at an early stage with accurate diagnosis and improved survival outcomes. AI is an innovative technology of the future that can be used for early prediction, diagnosis and treatment of cancer.
publishDate 2020
dc.date.none.fl_str_mv 2020-08
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/11336/131511
Ullah M.; Akbar A.; Yannarelli, Gustavo Gabriel; Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine; Baishideng Publishing; Artificial Intelligence in Cancer; 1; 8-2020; 39-44
2644-3228
CONICET Digital
CONICET
url http://hdl.handle.net/11336/131511
identifier_str_mv Ullah M.; Akbar A.; Yannarelli, Gustavo Gabriel; Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine; Baishideng Publishing; Artificial Intelligence in Cancer; 1; 8-2020; 39-44
2644-3228
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.35713/aic.v1.i2.39
info:eu-repo/semantics/altIdentifier/url/https://www.wjgnet.com/2644-3228/full/v1/i2/39.htm
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 Baishideng Publishing
publisher.none.fl_str_mv Baishideng Publishing
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
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score 13.070432

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