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Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department.
Huang, Jonathan; Neill, Luke; Wittbrodt, Matthew; Melnick, David; Klug, Matthew; Thompson, Michael; Bailitz, John; Loftus, Timothy; Malik, Sanjeev; Phull, Amit; Weston, Victoria; Heller, J Alex; Etemadi, Mozziyar.
Afiliação
  • Huang J; Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Neill L; Department of Anesthesiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Wittbrodt M; Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois.
  • Melnick D; Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Klug M; Research & Development, Northwestern Medicine Information Services, Chicago, Illinois.
  • Thompson M; Research & Development, Northwestern Medicine Information Services, Chicago, Illinois.
  • Bailitz J; Research & Development, Northwestern Medicine Information Services, Chicago, Illinois.
  • Loftus T; Research & Development, Northwestern Medicine Information Services, Chicago, Illinois.
  • Malik S; Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Phull A; Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Weston V; Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Heller JA; Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Etemadi M; Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
JAMA Netw Open ; 6(10): e2336100, 2023 10 02.
Article em En | MEDLINE | ID: mdl-37796505
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Serviços Médicos de Emergência Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: JAMA Netw Open Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Serviços Médicos de Emergência Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: JAMA Netw Open Ano de publicação: 2023 Tipo de documento: Article