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dc.contributor.author
Ullah M.  
dc.contributor.author
Akbar A.  
dc.contributor.author
Yannarelli, Gustavo Gabriel  
dc.date.available
2021-05-06T15:36:13Z  
dc.date.issued
2020-08  
dc.identifier.citation
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  
dc.identifier.issn
2644-3228  
dc.identifier.uri
http://hdl.handle.net/11336/131511  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Baishideng Publishing  
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  
dc.subject
CLINICAL TUMOR PREDICTION  
dc.subject
PERSONALIZED MEDICINE  
dc.subject.classification
Oncología  
dc.subject.classification
Medicina Clínica  
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Applications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-04-28T21:34:09Z  
dc.journal.volume
1  
dc.journal.pagination
39-44  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Ullah M.. University of Stanford; Estados Unidos  
dc.description.fil
Fil: Akbar A.. University of Stanford; Estados Unidos  
dc.description.fil
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  
dc.journal.title
Artificial Intelligence in Cancer  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.35713/aic.v1.i2.39  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.wjgnet.com/2644-3228/full/v1/i2/39.htm