The Potential of Chat-Based Artificial Intelligence Models in Differentiating Between Keloid and Hypertrophic Scars: A Pilot Study.

Journal: Aesthetic plastic surgery
PMID: 39322838

Abstract

BACKGROUND: Lasting scars such as keloids and hypertrophic scars adversely affect a patient's quality of life. However, these scars are frequently underdiagnosed because of the complexity of the current diagnostic criteria and classification systems. This study aimed to explore the application of Large Language Models (LLMs) such as ChatGPT in diagnosing scar conditions and to propose a more accessible and straightforward diagnostic approach.

Authors

  • Makoto Shiraishi
    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.
  • Hakuba Takeishi
    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.
  • Yuta Moriwaki
    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.
  • Mutsumi Okazaki
    Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Tokyo, Japan.

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