Gender Authorship Among Urology Artificial Intelligence Publications: A 10-Year Retrospective Analysis.
Journal:
Urology
Published Date:
Apr 30, 2025
Abstract
We aim to characterize gender authorship in urology-related artificial intelligence (AI) research. A retrospective review was performed using MEDLINE, Embase, and Web of Science (Clarivate) databases (2014-2024). First and senior author gender was estimated using Gender APIĀ©. Of 799 urology related- AI research articles, 17.6% of first authors and 12.5% of senior authors were female. The proportion of female authors in urology-specific journals was lower compared to males (P <.05). Publication impact factor was significantly lower among female senior authors (P <.05). Gender disparities in urology-related AI research exist. Future work aims to employ and assess strategies to encourage greater female representation.