Artificial Intelligence Assistive Software Tool for Automated Detection and Quantification of Amyloid-Related Imaging Abnormalities.

Journal: JAMA network open
PMID: 38345816

Abstract

IMPORTANCE: Amyloid-related imaging abnormalities (ARIA) are brain magnetic resonance imaging (MRI) findings associated with the use of amyloid-β-directed monoclonal antibody therapies in Alzheimer disease (AD). ARIA monitoring is important to inform treatment dosing decisions and might be improved through assistive software.

Authors

  • Diana M Sima
    STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium.
  • Thanh Vân Phan
    icometrix, Leuven, Belgium.
  • Simon Van Eyndhoven
    icometrix, Leuven, Belgium.
  • Sophie Vercruyssen
    icometrix, Leuven, Belgium.
  • Ricardo Magalhães
    icometrix, Leuven, Belgium.
  • Arno Liseune
    icometrix, Leuven, Belgium.
  • Arne Brys
    icometrix, Leuven, Belgium.
  • Peter Frenyo
    icometrix, Leuven, Belgium.
  • Vasilis Terzopoulos
    icometrix, Leuven, Belgium.
  • Celine Maes
    icometrix, Leuven, Belgium.
  • Joshua Guo
    Biogen Digital Health, Biogen, Cambridge, Massachusetts.
  • Richard Hughes
    Biogen Digital Health, Biogen, Cambridge, Massachusetts.
  • Refaat E Gabr
    Department of Diagnostic and Interventional Imaging, McGovern Medical School, University of Texas Health Science Center, Houston, Texas, USA.
  • Willem Huijbers
    Biogen Digital Health, Biogen, Cambridge, Massachusetts.
  • Paramita Saha-Chaudhuri
    Biogen Digital Health, Biogen, Cambridge, Massachusetts.
  • Gioacchino G Curiale
    Biogen, Cambridge, Massachusetts.
  • Andrew Becker
  • Shibeshih Belachew
    Biogen Digital Health, Biogen, Cambridge, Massachusetts.
  • Wim Van Hecke
    icometrix, Leuven, Belgium.
  • Annemie Ribbens
    icometrix NV, Leuven, Belgium.
  • Dirk Smeets
    icometrix NV, Leuven, Belgium.

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