Ethical and Regulatory Perspectives on Generative Artificial Intelligence in Pathology.

Journal: Archives of pathology & laboratory medicine
Published Date:

Abstract

CONTEXT.—: Technology companies and research groups are increasingly exploring applications of generative artificial intelligence (GenAI) in pathology and laboratory medicine. Although GenAI holds considerable promise, it also introduces novel risks for patients, communities, professionals, and the scientific process.

Authors

  • Brian R Jackson
    Department of Pathology, University of Utah, Salt Lake City, UT 84112, United States.
  • Hooman H Rashidi
    Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; Computational Pathology and AI Center of Excellence (CPACE), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Electronic address: rashidihh@upmc.edu.
  • Jochen K Lennerz
    Department of Pathology, Center for Integrated Diagnostics, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.
  • M E de Baca
    Sysmex America, Lincolnshire, Illinois (de Baca).