COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligence.

Dorr, Francisco; Chaves, Hernán; Serra, María Mercedes; Ramirez, Andrés; Costa, Martín Elías; Seia, Joaquín; Cejas, Claudia; Castro, Marcelo; Eyheremendy, Eduardo; Fernández Slezak, Diego; Farez, Mauricio F

Dorr, Francisco; Chaves, Hernán; Serra, María Mercedes; Ramirez, Andrés; Costa, Martín Elías; Seia, Joaquín; Cejas, Claudia; Castro, Marcelo; Eyheremendy, Eduardo; Fernández Slezak, Diego; Farez, Mauricio F.

Afiliação

Dorr F; Entelai, Buenos Aires, Argentina.
Chaves H; Entelai, Buenos Aires, Argentina.
Serra MM; Department of Diagnostic Imaging, Fleni, Buenos Aires, Argentina.
Ramirez A; Entelai, Buenos Aires, Argentina.
Costa ME; Department of Diagnostic Imaging, Fleni, Buenos Aires, Argentina.
Seia J; Entelai, Buenos Aires, Argentina.
Cejas C; Entelai, Buenos Aires, Argentina.
Castro M; Entelai, Buenos Aires, Argentina.
Eyheremendy E; Department of Diagnostic Imaging, Fleni, Buenos Aires, Argentina.
Fernández Slezak D; Department of Diagnostic Imaging, Clínica Indisa, Santiago, Chile.
Farez MF; Department of Diagnostic Imaging, Hospital Alemán, Buenos Aires, Argentina.

Intell Based Med ; 3: 100014, 2020 Dec.

Article em En | MEDLINE | ID: mdl-33230503

Palavras-chave

AI, artificial intelligence; AUPR, area under the precision-recall; AUROC, area under the receiver operating characteristic; Artificial intelligence; COVID-19; CT, computed tomography; CXR, chest radiographs; Chest; DL, deep learning; Diagnostic performance; RT-PCR, real-time reverse transcriptasepolymerase chain reaction; Radiography

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Intell Based Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Argentina País de publicação: Holanda

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