Gender and racial diversity Assumed by text-to-image generators in microsurgery and plastic surgery-related subspecialities.

Journal: Journal of hand and microsurgery
Published Date:

Abstract

BACKGROUND: Since the release of ChatGPT by OpenAI in November 2022, generative artificial intelligence (AI) models have attracted significant attention in various fields, including surgery. These advancements have been particularly notable for creating highly detailed and contextually accurate images from textual prompts. A notable area of clinical application is the representation of surgeon demographics in various specialties, particularly in the context of microsurgery and plastic surgery-related subspecialties.

Authors

  • Makoto Shiraishi
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Chihena Hansini Banda
    Plastic and Reconstructive Surgery Unit, Department of Surgery, The University Teaching Hospital, Lusaka, Zambia.
  • Mayuri Nakajima
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Mildred Nakazwe
    Plastic and Reconstructive Surgery Unit, Department of Surgery, The University Teaching Hospital, Lusaka, Zambia.
  • Zi Yi Wong
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Yoko Tomioka
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Yuta Moriwaki
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Hakuba Takeishi
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Haesu Lee
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Daichi Kurita
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Kiichi Furuse
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Jun Ohba
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Kou Fujisawa
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Shimpei Miyamoto
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.
  • Mutsumi Okazaki
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.

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