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Gender Authorship Among Urology Artificial Intelligence Publications: A 10-Year Retrospective Analysis
Journal article   Peer reviewed

Gender Authorship Among Urology Artificial Intelligence Publications: A 10-Year Retrospective Analysis

Gillian Murray, Ranveer M S Vasdev, Luqman Ellythy, Tianyu He, Anish Sethi, Meghan Cooper, Sevann Helo, Candace F Granberg, Abhinav Khanna, Stephen A Boorjian, …
Urology (Ridgewood, N.J.), v 201, pp 183-189
01 Jul 2025
DOI: https://doi.org/10.1016/j.urology.2025.04.044
PMID: 40316000
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Artificial Intelligence Authorship Female Humans Male Periodicals as Topic - statistics & numerical data Publishing - statistics & numerical data Retrospective Studies Sex Factors Urology
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 API©. 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.

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Collaboration types
Domestic collaboration
Web of Science research areas
Urology & Nephrology
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