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A review of current advancements and limitations of artificial intelligence in genitourinary cancers

Advances in deep learning and neural networking have allowed clinicians to understand the impact that artificial intelligence (AI) could have on improving clinical outcomes and resources expenditures. In the realm of genitourinary (GU) cancers, AI has had particular success in improving the diagnosi...

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Dades bibliogràfiques
Publicat a:Am J Clin Exp Urol
Autors principals: Pai, Raghav K, Van Booven, Derek J, Parmar, Madhumita, Lokeshwar, Soum D, Shah, Khushi, Ramasamy, Ranjith, Arora, Himanshu
Format: Artigo
Idioma:Inglês
Publicat: e-Century Publishing Corporation 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7677518/
https://ncbi.nlm.nih.gov/pubmed/33235893
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