Role of artificial intelligence in oncologic emergencies: a narrative review.

Fanni, Salvatore Claudio; Greco, Giuseppe; Rossi, Sara; Aghakhanyan, Gayane; Masala, Salvatore; Scaglione, Mariano; Tonerini, Michele; Neri, Emanuele

Fanni, Salvatore Claudio; Greco, Giuseppe; Rossi, Sara; Aghakhanyan, Gayane; Masala, Salvatore; Scaglione, Mariano; Tonerini, Michele; Neri, Emanuele.

Afiliação

Fanni SC; Department of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.
Greco G; Department of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.
Rossi S; Department of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.
Aghakhanyan G; Department of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.
Masala S; Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
Scaglione M; Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
Tonerini M; Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, 56126 Pisa, Italy.
Neri E; Department of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.

Explor Target Antitumor Ther ; 4(2): 344-354, 2023.

Article em En | MEDLINE | ID: mdl-37205309

Palavras-chave

Artificial intelligence; deep learning; machine learning; neural networks; oncologic emergencies; oncologic imaging

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Explor Target Antitumor Ther Ano de publicação: 2023 Tipo de documento: Article

Texto completo

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PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Explor Target Antitumor Ther Ano de publicação: 2023 Tipo de documento: Article