Harnessing the Power of Generative Artificial Intelligence in Pathology Education: Opportunities, Challenges, and Future Directions.

Abstract

Authors

• Matthew J Cecchini
  Department of Pathology and Laboratory Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
• Michael J Borowitz
  the Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, Maryland (Borowitz).
• Eric F Glassy
  Affiliated Pathologists Medical Group, Inc., Rancho Dominguez, California.
• Rama R Gullapalli
  Departments of Pathology and Chemical and Biological Engineering, University of New Mexico, Albuquerque, New Mexico.
• Steven N Hart
  From the Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota (Flotte, Derauf, Byrd, Kroneman, Bell, Hart, Garcia).
• Lewis A Hassell
  the Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City (Hassell).
• Robert J Homer
  the Department of Pathology, Yale School of Medicine, New Haven, Connecticut (Homer).
• Ronald Jackups
  Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO. rjackups@path.wustl.edu.
• Jeffrey L McNeal
  Education Program Design, College of American Pathologists, Northfield, Illinois (McNeal).
• Scott R Anderson
  the Department of Pathology and Laboratory Medicine, University of Vermont Medical Center, Burlington (Anderson).

Keywords

External Resources