Gender bias in images of anaesthesiologists generated by artificial intelligence.

Abstract

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.
• Ekin Köselerli
  Department of Anesthesiology and ICU, University of Ankara School of Medicine, Ankara, Turkey.
• Mélanie Suppan
  Division of Anesthesiology, Department of Anesthesiology, Clinical Pharmacology, Intensive Care and Emergency Medicine, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
• Laurens Minsart
  Department of Anesthesia, Antwerp University Hospital (UZA), Edegem, Belgium.
• Basak C Meco
  Department of Anesthesiology and ICU, University of Ankara School of Medicine, Ankara, Turkey; Ankara University Brain Research Center, Ankara, Turkey.
• Laurence Seidel
  Departments of Biostatistics and of Public Health Sciences, University Hospital of Liège, Liège, Belgium.
• Adelin Albert
  Departments of Biostatistics and of Public Health Sciences, University Hospital of Liège, Liège, Belgium.
• Odmara L Barreto Chang
  Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, CA, USA.
• Joana Berger-Estilita
  Institute for Medical Education, University of Bern, Bern, Switzerland.
• Sarah Saxena
  Department of Anesthesiology, Helora, Mons, Belgium.

Keywords

External Resources