Your browser doesn't support javascript.
loading
FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies.
Ebrahimian, Shadi; Kalra, Mannudeep K; Agarwal, Sheela; Bizzo, Bernardo C; Elkholy, Mona; Wald, Christoph; Allen, Bibb; Dreyer, Keith J.
Afiliação
  • Ebrahimian S; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 25 New Chardon Street, Boston, MA 02114.
  • Kalra MK; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 25 New Chardon Street, Boston, MA 02114.
  • Agarwal S; Lenox Hill Radiology, New York, New York; ACR Data Science Institute, Reston, Virginia.
  • Bizzo BC; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 25 New Chardon Street, Boston, MA 02114; MGH & BWH Center for Clinical Data Science, Boston, Massachusetts.
  • Elkholy M; ACR Data Science Institute, Reston, Virginia.
  • Wald C; Department of Radiology, Lahey Hospital & Medical Center, Burlington, MA and Tufts University Medical School, Boston, Massachusetts.
  • Allen B; Department of Radiology, Grandview Medical Center, Birmingham, Alabama.
  • Dreyer KJ; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 25 New Chardon Street, Boston, MA 02114; MGH & BWH Center for Clinical Data Science, Boston, Massachusetts. Electronic address: kdreyer@partners.org.
Acad Radiol ; 29(4): 559-566, 2022 04.
Article em En | MEDLINE | ID: mdl-34969610
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Inteligência Artificial Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2022 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: Algoritmos / Inteligência Artificial Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article