Gender Disparities in Artificial Intelligence-Generated Images of Hospital Leadership in the United States.

Journal: Mayo Clinic proceedings. Digital health
Published Date: Apr 8, 2025

Abstract

OBJECTIVE: To evaluate demographic representation in artificial intelligence (AI)-generated images of hospital leadership roles and compare them with real-world data from US hospitals.

Authors

  • Mia Gisselbaek
    Division of Anesthesiology, Department of Anesthesiology, Pharmacology, Intensive Care and Emergency Medicine, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland. Mia.gisselbaek@gmail.com.
  • Joana Berger-Estilita
    Institute for Medical Education, University of Bern, Bern, Switzerland.
  • Laurens Minsart
    Department of Anesthesia, Antwerp University Hospital (UZA), Edegem, Belgium.
  • Ekin Köselerli
    Department of Anesthesiology and ICU, University of Ankara School of Medicine, Ankara, Turkey.
  • Arnout Devos
    ETH AI Center, Swiss Federal Institute of Technology Zurich (ETH Zurich), Zurich, Switzerland.
  • Francisco Maio Matos
    Anesthesiology Department, Hospitais da Universidade de Coimbra, Coimbra, Portugal.
  • Odmara L Barreto Chang
    Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, CA, USA.
  • Peter Dieckmann
    Copenhagen Academy for Medical Education and Simulation (CAMES), Herlev, Copenhagen, Capital Region of Denmark, Denmark.
  • Mélanie Suppan
    Division of Anesthesiology, Department of Anesthesiology, Clinical Pharmacology, Intensive Care and Emergency Medicine, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
  • Sarah Saxena
    Department of Anesthesiology, Helora, Mons, Belgium.

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