Generative Artificial Intelligence in Anatomic Pathology.

Journal: Archives of pathology & laboratory medicine
PMID: 39836377

Abstract

CONTEXT.—: Generative artificial intelligence (AI) has emerged as a transformative force in various fields, including anatomic pathology, where it offers the potential to significantly enhance diagnostic accuracy, workflow efficiency, and research capabilities.

Authors

  • Victor Brodsky
    the Department of Pathology and Immunology, Washington University, St Louis, Missouri (Brodsky).
  • Ehsan Ullah
  • Andrey Bychkov
    Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Sakamoto, Nagasaki, Japan; Department of Pathology, Kameda Medical Center, Kamogawa, Chiba, Japan.
  • Andrew H Song
    Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Eric E Walk
    Office of the Chief Medical Officer, PathAI, Boston, Massachusetts (Walk).
  • Peter Louis
    the Department of Pathology and Laboratory Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey (Louis).
  • Ghulam Rasool
    Moffitt Cancer Center, Tampa, FL, USA.
  • Rajendra S Singh
    Dermatopathology and Digital Pathology, Summit Health, Berkley Heights, New Jersey (Singh).
  • Faisal Mahmood
    Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. faisalmahmood@bwh.harvard.edu.
  • Marilyn M Bui
    Department of Pathology, Moffitt Cancer Center, Tampa, FL, USA.
  • Anil V Parwani
    Department of Pathology, The Ohio State University Wexner Medical Centre, Columbus, OH, USA.

Keywords

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