Your browser doesn't support javascript.
loading
Review of Artificial Intelligence Training Tools and Courses for Radiologists.
Richardson, Michael L; Adams, Scott J; Agarwal, Atul; Auffermann, William F; Bhattacharya, Anup K; Consul, Nikita; Fotos, Joseph S; Kelahan, Linda C; Lin, Christine; Lo, Hao S; Nguyen, Xuan V; Salkowski, Lonie R; Sin, Jessica M; Thomas, Robert C; Wassef, Shafik; Ikuta, Ichiro.
Afiliação
  • Richardson ML; Department of Radiology, University of Washington, Seattle, Washington. Electronic address: mrich@uw.edu.
  • Adams SJ; Department of Medical Imaging, University of Saskatchewan, Saskatoon, SK, Canada.
  • Agarwal A; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, Indiana.
  • Auffermann WF; Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah.
  • Bhattacharya AK; Mallinckrodt Institute of Radiology, St. Louis, Missouri.
  • Consul N; Department of Radiology, Baylor College of Medicine, Houston, Texas.
  • Fotos JS; Department of Radiology, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania.
  • Kelahan LC; Department of Radiology, Northwestern University, Chicago, Illinois.
  • Lin C; College of Medicine, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania.
  • Lo HS; Department of Radiology, University of Massachusetts, Worcester, Massachusetts.
  • Nguyen XV; Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio.
  • Salkowski LR; Department of Radiology, University of Wisconsin, Madison, Wisconsin.
  • Sin JM; Dartmouth Hitchcock Clinics, Lebanon, New Hampshire.
  • Thomas RC; School of Medicine, Louisiana State University, New Orleans, Los Angeles, United States.
  • Wassef S; Medical Imaging and Interventions Specialists, Alachua, Florida.
  • Ikuta I; Department of Radiology, Yale University, New Haven, Connecticut.
Acad Radiol ; 28(9): 1238-1252, 2021 09.
Article em En | MEDLINE | ID: mdl-33714667
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia / Inteligência Artificial Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia / Inteligência Artificial Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article