Your browser doesn't support javascript.
loading
Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence.
Do, Huy M; Spear, Lillian G; Nikpanah, Moozhan; Mirmomen, S Mojdeh; Machado, Laura B; Toscano, Alexandra P; Turkbey, Baris; Bagheri, Mohammad Hadi; Gulley, James L; Folio, Les R.
Afiliación
  • Do HM; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Building 10, 9000 Rockville Pike, Bethesda, MD 20892, USA. Electronic address: huy.do@nih.gov.
  • Spear LG; Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; Current Affiliation: University of Maryland, College Park, Maryland.
  • Nikpanah M; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Building 10, 9000 Rockville Pike, Bethesda, MD 20892, USA.
  • Mirmomen SM; Advanced Cardiovascular Imaging Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Machado LB; Department of Radiology, Mercy Catholic Medical Center, Conshohocken, Pennsylvania.
  • Toscano AP; Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; Current Affiliation: University of Maryland, College Park, Maryland.
  • Turkbey B; Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Bagheri MH; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Building 10, 9000 Rockville Pike, Bethesda, MD 20892, USA.
  • Gulley JL; Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Folio LR; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Building 10, 9000 Rockville Pike, Bethesda, MD 20892, USA.
Acad Radiol ; 27(1): 96-105, 2020 01.
Article en En | MEDLINE | ID: mdl-31818390
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial / Flujo de Trabajo Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Acad Radiol Asunto de la revista: RADIOLOGIA Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial / Flujo de Trabajo Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Acad Radiol Asunto de la revista: RADIOLOGIA Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos