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
ABSTRACT
Artificial intelligence (AI) systems play an increasingly important role in all parts of the imaging chain, from image creation to image interpretation to report generation. In order to responsibly manage radiology AI systems and make informed purchase decisions about them, radiologists must understand the underlying principles of AI. Our task force was formed by the Radiology Research Alliance (RRA) of the Association of University Radiologists to identify and summarize a curated list of current educational materials available for radiologists.
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Inteligência Artificial Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 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: Radiologia / Inteligência Artificial Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article