dc.creatorUllah M.
dc.creatorAkbar A.
dc.creatorYannarelli, Gustavo Gabriel
dc.date.accessioned2021-05-06T15:36:13Z
dc.date.accessioned2022-10-15T11:49:29Z
dc.date.available2021-05-06T15:36:13Z
dc.date.available2022-10-15T11:49:29Z
dc.date.created2021-05-06T15:36:13Z
dc.date.issued2020-08
dc.identifierUllah 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.identifier2644-3228
dc.identifierhttp://hdl.handle.net/11336/131511
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4382661
dc.description.abstractArtificial 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.languageeng
dc.publisherBaishideng Publishing
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.35713/aic.v1.i2.39
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.wjgnet.com/2644-3228/full/v1/i2/39.htm
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectARTIFICIAL INTELLIGENCE
dc.subjectCANCER
dc.subjectCLINICAL TUMOR PREDICTION
dc.subjectPERSONALIZED MEDICINE
dc.titleApplications of artificial intelligence in early detection of cancer, clinical diagnosis and personalized medicine
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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