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Association of Artificial Intelligence-Aided Chest Radiograph Interpretation With Reader Performance and Efficiency.
Ahn, Jong Seok; Ebrahimian, Shadi; McDermott, Shaunagh; Lee, Sanghyup; Naccarato, Laura; Di Capua, John F; Wu, Markus Y; Zhang, Eric W; Muse, Victorine; Miller, Benjamin; Sabzalipour, Farid; Bizzo, Bernardo C; Dreyer, Keith J; Kaviani, Parisa; Digumarthy, Subba R; Kalra, Mannudeep K.
Afiliação
  • Ahn JS; Lunit, Inc, Seoul, South Korea.
  • Ebrahimian S; Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • McDermott S; Internal Medicine, Icahn School of Medicine at Mount Sinai, Elmhurst Hospital Center, Elmhurst, New York.
  • Lee S; Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Naccarato L; Lunit, Inc, Seoul, South Korea.
  • Di Capua JF; Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Wu MY; Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Zhang EW; Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Muse V; Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Miller B; Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Sabzalipour F; Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Bizzo BC; Data Science Office, Mass General Brigham, Boston, Massachusetts.
  • Dreyer KJ; Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Kaviani P; Data Science Office, Mass General Brigham, Boston, Massachusetts.
  • Digumarthy SR; Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Kalra MK; Data Science Office, Mass General Brigham, Boston, Massachusetts.
JAMA Netw Open ; 5(8): e2229289, 2022 08 01.
Article em En | MEDLINE | ID: mdl-36044215
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Derrame Pleural / Pneumonia / Pneumotórax / Aprendizado Profundo Tipo de estudo: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Male / Middle aged Idioma: En Revista: JAMA Netw Open Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Coréia do Sul
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Derrame Pleural / Pneumonia / Pneumotórax / Aprendizado Profundo Tipo de estudo: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Male / Middle aged Idioma: En Revista: JAMA Netw Open Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Coréia do Sul