Democratizing Artificial Intelligence in Anatomic Pathology.

Journal: Archives of pathology & laboratory medicine
Published Date:

Abstract

CONTEXT.—: Artificial intelligence is a transforming technology for anatomic pathology. Involvement within the workforce will foster support for algorithm development and implementation.

Authors

  • Thomas J Flotte
    From the Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota (Flotte, Derauf, Byrd, Kroneman, Bell, Hart, Garcia).
  • Stephanie A Derauf
    From the Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota (Flotte, Derauf, Byrd, Kroneman, Bell, Hart, Garcia).
  • Rachel K Byrd
    From the Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota (Flotte, Derauf, Byrd, Kroneman, Bell, Hart, Garcia).
  • Trynda N Kroneman
    From the Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota (Flotte, Derauf, Byrd, Kroneman, Bell, Hart, Garcia).
  • Debra A Bell
    From the Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota (Flotte, Derauf, Byrd, Kroneman, Bell, Hart, Garcia).
  • Lucas Stetzik
    Aiforia Technologies, Helsinki, Finland (Stetzik, Lee, Samiei, Beamer, Westerling-Bui).
  • Seung-Yi Lee
    Aiforia Technologies, Cambridge, MA, United States.
  • Alireza Samiei
    Aiforia Technologies, Helsinki, Finland (Stetzik, Lee, Samiei, Beamer, Westerling-Bui).
  • Steven N Hart
    From the Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota (Flotte, Derauf, Byrd, Kroneman, Bell, Hart, Garcia).
  • Joaquin J Garcia
    Department of Pathology, Mayo Clinic, Rochester, MN, USA.
  • Gillian Beamer
    Department of Infectious Disease and Global Health, Tufts University Cummings School of Veterinary Medicine, 200 Westboro Rd., North Grafton, MA 01536, United States.
  • Thomas Westerling-Bui
    Aiforia Inc, Cambridge, MA, USA.