Yan Tyler D, Yuan Po Hsiang Shawn, Saha Tania, Lebel Kiana, Spalluto Lucy, Yong-Hing Charlotte J
Department of Radiology, Faculty of Medicine, 12358University of British Columbia, Vancouver, BC, Canada.
Faculty of Medicine, 12358University of British Columbia, Vancouver, BC, Canada.
Can Assoc Radiol J. 2023 May;74(2):264-271. doi: 10.1177/08465371221122637. Epub 2022 Sep 3.
To examine trends in female authorship of peer-reviewed North American radiology articles centred around artificial intelligence (AI). A bibliographic search was conducted for all AI-related articles published in four North American radiology journals. Collected data included the genders of the first and last (senior) authors, year and country. We compared the trends of female authorship using Pearson chi-square, Fisher exact tests and logistic regression models. 453 articles met the inclusion criteria. Among these, 107 (22.3%) had a female first author and 97 (27.3%) had a female senior author. Female first authors were over three times more likely to publish with a female senior author. Among the four journals, the CARJ had the highest proportion of female senior authors at 45.5%. The only significant temporal trend identified was an increase over the years in female senior authors in Radiology. Twenty-four countries contributed to the included articles, with the largest contributors being the United States (n = 290) and Canada (n = 30). Of the countries contributing more than 15 articles, there were none with above 50% female authorship. Female authors are underrepresented in AI-related radiology literature. However, there has been an encouraging recent increase in female authorship in AI-related radiology articles trending towards significance. There is a great opportunity to improve female representation in AI with intentional mentorship and recruitment. We urge more platforms for female voices in radiology as AI becomes increasingly integrated into the radiology community.
为研究以人工智能（AI）为核心的北美同行评审放射学文章中女性作者的趋势。对北美四家放射学杂志上发表的所有与AI相关的文章进行了文献检索。收集的数据包括第一作者和最后（资深）作者的性别、年份和国家。我们使用Pearson卡方检验、Fisher精确检验和逻辑回归模型比较了女性作者的趋势。453篇文章符合纳入标准。其中，107篇（22.3%）的第一作者为女性，97篇（27.3%）的资深作者为女性。第一作者为女性的文章与资深作者为女性的文章共同发表的可能性高出三倍多。在这四家杂志中，《加拿大放射学会杂志》（CARJ）的资深女性作者比例最高，为45.5%。唯一确定的显著时间趋势是，《放射学》杂志上资深女性作者的数量多年来有所增加。24个国家为纳入的文章做出了贡献，贡献最大的是美国（n = 290）和加拿大（n = 30）。在贡献超过15篇文章的国家中，没有一个国家的女性作者比例超过50%。在与AI相关的放射学文献中，女性作者的代表性不足。然而，最近令人鼓舞的是，与AI相关的放射学文章中女性作者的数量有所增加，且有趋于显著的趋势。通过有针对性的指导和招募，有很大机会提高AI领域女性的代表性。随着AI越来越融入放射学界，我们敦促为放射学领域的女性声音提供更多平台。
