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Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.
Kanakaraj, Praitayini; Ramadass, Karthik; Bao, Shunxing; Basford, Melissa; Jones, Laura M; Lee, Ho Hin; Xu, Kaiwen; Schilling, Kurt G; Carr, John Jeffrey; Terry, James Gregory; Huo, Yuankai; Sandler, Kim Lori; Netwon, Allen T; Landman, Bennett A.
Afiliación
  • Kanakaraj P; Computer Science, Vanderbilt University, Nashville, TN, USA. praitayini.kanakaraj@vanderbilt.edu.
  • Ramadass K; Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Bao S; Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Basford M; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Jones LM; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Lee HH; Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Xu K; Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Schilling KG; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Carr JJ; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Terry JG; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Huo Y; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Sandler KL; Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Netwon AT; Data Science Institute, Vanderbilt University, Nashville, TN, USA.
  • Landman BA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
J Digit Imaging ; 35(4): 1023-1033, 2022 08.
Article en En | MEDLINE | ID: mdl-35266088
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial Tipo de estudio: Guideline / Observational_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial Tipo de estudio: Guideline / Observational_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos