Gaps and Opportunities of Artificial Intelligence Applications for Pediatric Oncology in European Research: A Systematic Review of Reviews and a Bibliometric Analysis.

Tozzi, Alberto Eugenio; Fabozzi, Francesco; Eckley, Megan; Croci, Ileana; Dell'Anna, Vito Andrea; Colantonio, Erica; Mastronuzzi, Angela

Tozzi, Alberto Eugenio; Fabozzi, Francesco; Eckley, Megan; Croci, Ileana; Dell'Anna, Vito Andrea; Colantonio, Erica; Mastronuzzi, Angela.

Afiliação

Tozzi AE; Multifactorial and Complex Diseases Research Area, Bambino Gesù Children's Hospital, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Fabozzi F; Department of Onco Hematology and Cell and Gene Therapy, Bambino Gesù Pediatric Hospital, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Eckley M; Department of Pediatrics, University of Rome Tor Vergata, Rome, Italy.
Croci I; Department of Onco Hematology and Cell and Gene Therapy, Bambino Gesù Pediatric Hospital, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Dell'Anna VA; Multifactorial and Complex Diseases Research Area, Bambino Gesù Children's Hospital, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Colantonio E; Department of Onco Hematology and Cell and Gene Therapy, Bambino Gesù Pediatric Hospital, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Mastronuzzi A; Department of Onco Hematology and Cell and Gene Therapy, Bambino Gesù Pediatric Hospital, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), Rome, Italy.

Front Oncol ; 12: 905770, 2022.

Article em En | MEDLINE | ID: mdl-35712463

Palavras-chave

CNS tumors; artificial intelligence; childhood cancer; deep learning; machine learning; pediatric oncology

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Systematic_reviews Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália

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