Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement

Artificial intelligence is highly regarded as the most promising future technology that will have a great impact on healthcare across all specialties. Its subsets, machine learning, deep learning, and artificial neural networks, are able to automatically learn from massive amounts of data and can im...

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Detalles Bibliográficos
Autores principales: Ferro, Matteo, Falagario, Ugo Giovanni, Barone, Biagio, Maggi, Martina, Crocetto, Felice, Busetto, Gian Maria, del Giudice, Francesco, Terracciano, Daniela, Lucarelli, Giuseppe, Lasorsa, Francesco, Catellani, Michele, Brescia, Antonio, Mistretta, Francesco Alessandro, Luzzago, Stefano, Piccinelli, Mattia Luca, Vartolomei, Mihai Dorin, Jereczek-Fossa, Barbara Alicja, Musi, Gennaro, Montanari, Emanuele, de Cobelli, Ottavio, Tataru, Octavian Sabin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340656/
https://www.ncbi.nlm.nih.gov/pubmed/37443700
http://dx.doi.org/10.3390/diagnostics13132308

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340656/
https://www.ncbi.nlm.nih.gov/pubmed/37443700
http://dx.doi.org/10.3390/diagnostics13132308

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