Exploring the use of ChatGPT in OBGYN: a bibliometric analysis of the first ChatGPT-related publications

Gabriel Levin*, Yoav Brezinov, Raanan Meyer

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Purpose: Little is known about the scientific literature regarding the new revolutionary tool, ChatGPT. We aim to perform a bibliometric analysis to identify ChatGPT-related publications in obstetrics and gynecology (OBGYN). Study design: A bibliometric study through PubMed database. We mined all ChatGPT-related publications using the search term “ChatGPT”. Bibliometric data were obtained from the iCite database. We performed a descriptive analysis. We further compared IF among publications describing a study vs. other publications. Results: Overall, 42 ChatGPT-related publications were published across 26 different journals during 69 days. Most publications were editorials (52%) and news/briefing (22%), with only one (2%) research article identified. Five (12%) publications described a study performed. No ChatGPT-related publications in OBGYN were found. The leading journal by the number of publications was Nature (24%), followed by Lancet Digital Health and Radiology (7%, for both). The main subjects of publications were ChatGPT’s scientific writing quality (26%) and a description of ChatGPT (26%) followed by tested performance of ChatGPT (14%), authorship and ethical issues (10% for both topics).In a comparison of publications describing a study performed (n = 5) vs. other publications (n = 37), mean IF was lower in the study-publications (mean 6.25 ± 0 vs. 25.4 ± 21.6, p <.001). Conclusions: The study highlights main trends in ChatGPT-related publications. OBGYN is yet to be represented in this literature.

Original languageEnglish
Pages (from-to)1785-1789
Number of pages5
JournalArchives of Gynecology and Obstetrics
Issue number6
StatePublished - Dec 2023
Externally publishedYes


  • Artificial intelligence
  • Bibliometrics
  • ChatGPT
  • OBGYN literature
  • Research


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