Artificial intelligence scoring of liver biopsies in a phase II trial of semaglutide in nonalcoholic steatohepatitis.

Journal: Hepatology (Baltimore, Md.)
Published Date: Dec 19, 2023

Abstract

BACKGROUND AND AIMS: Artificial intelligence-powered digital pathology offers the potential to quantify histological findings in a reproducible way. This analysis compares the evaluation of histological features of NASH between pathologists and a machine-learning (ML) pathology model.

Authors

  • Vlad Ratziu
    Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié Salpêtrière, Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.
  • Sven Francque
    Antwerp University Hospital, Antwerp, Belgium.
  • Cynthia A Behling
    Pacific Rim Pathology, San Diego, California, USA.
  • Vanja Cejvanovic
    Novo Nordisk A/S, Søborg, Denmark.
  • Helena Cortez-Pinto
    Clínica Universitária de Gastrenterologia, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
  • Janani S Iyer
    PathAI Inc., Boston, Massachusetts, USA.
  • Niels Krarup
    Novo Nordisk A/S, Søborg, Denmark.
  • Quang Le
    PathAI Inc., Boston, Massachusetts, USA.
  • Anne-Sophie Sejling
    Novo Nordisk A/S, Søborg, Denmark.
  • Dina Tiniakos
    Laboratory of Histology & Embryology, Medical School, National and Kapodistrian University of Athens (Dina Tiniakos), Athens, Greece.
  • Stephen A Harrison
    Pinnacle Clinical Research, San Antonio, TX.

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