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Rofo 2025; 197(S 01): S45-S46
DOI: 10.1055/s-0045-1802798
Abstracts
Vortrag (Wissenschaft)
Management (Klinik/Praxis)

Steigerung der Workflow-Effizienz von Neuro-MRT durch optimiertes Facility Design und Deep Learning

Authors

  • B Wichtmann

    1   Universitätsklinikum Bonn, Klinik für Neuroradiologie, Bonn
  • A Herold

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA
  • A Gupta-Rastogi

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA
  • W C Lo

    3   Siemens Medical Solutions USA, Siemens Medical Solutions USA, Boston, MA
  • A Tabari

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA
  • B Clifford

    4   Siemens Medical Solutions USA, Siemens Medical Solutions USA, Boston, MA, USA
  • A Sharp

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA
  • S P Hartmann

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA
  • M Lang

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA
  • J Conklin

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA
  • S Cauley

    4   Siemens Medical Solutions USA, Siemens Medical Solutions USA, Boston, MA, USA
  • M Weber

    5   Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria
  • O A Catalano

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA
  • F M Fennessy

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA
  • J Brink

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA
  • O Pianykh

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA
  • S Y Huang

    2   Mass General Brigham, Department of Radiology, Boston, MA, USA