Letter to the Editor: It takes one to know one-Machine learning for identifying OBGYN abstracts written by ChatGPT.

Journal: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Published Date:

Abstract

No abstract available for this article.

Authors

  • Shigeki Matsubara
    Department of Obstetrics and Gynecology, Jichi Medical University, 3311-1 Shimotsuke, Tochigi 329-0498, Japan; Department of Obstetrics and Gynecology, Koga Red Cross Hospital, Ibaraki, Japan. Electronic address: matsushi@jichi.ac.jp.