Suppr超能文献

突破障碍:调查心血管疾病和人工智能出版物第一作者中的性别代表性。

Breaking Barriers: Investigating Gender Representation in the First Authors of Cardiovascular Disease and Artificial Intelligence Publications.

作者信息

Sharma Sampda, Anghole Anurag A, Pathare Snehal B, Nagare Manasi R, Choubey Shreya, Malik Atiya

机构信息

Internal Medicine, Gujarat Medical Education and Research Society (GMERS) Medical College, Gandhinagar, IND.

Internal Medicine, Smolensk State Medical University, Smolensk, RUS.

出版信息

Cureus. 2023 Sep 21;15(9):e45695. doi: 10.7759/cureus.45695. eCollection 2023 Sep.

Abstract

Introduction Artificial intelligence (AI) and cardiovascular diseases have resulted in significant advancements in healthcare and medical research. This study focused on examining the gender equality ratio of first authors in "artificial intelligence and cardiovascular disease" articles from 2005 to 2022. It is critical to investigate gender representation in this dynamic subject given the growing usage of AI in cardiovascular medicine. Aims The aim of this study is to visualize the changing face of gender equality within the field of artificial intelligence (AI) and cardiovascular diseases by examining the gender distribution of the first authors' published articles from 2005 to 2022, providing important insights into disparities in gender and the potential for fostering inclusivity and diversity in the scientific community. Methodology All academic articles published from 2005 to 2022 were reviewed. The gender of the first author of each study was recorded. Since there were so few articles available for five months in 2023, they were excluded. The research was subsequently categorized based on the gender, ethnicity, and country of origin of the first authors. Results With a value of 0.54, the overall gender ratio favored male authors (275) over female authors (149). In 2022, female first authors had the most publications (59), while male first authors contributed 113 articles. Predictions for 2027 showed a significant increase in the number of publications on this topic by male authors (950) and female authors (580). A gradual increase in the number of female first authors was observed over this period, although their representation remained lower compared to male first authors. Conclusions In the first authorship, our analysis found a gender gap, with male authors predominating. Females' engagement must be encouraged if academic gender equality is to be achieved. Female researchers are empowered by creating an inclusive atmosphere through mentorship and regulatory changes. For knowledge to advance fairly, collaboration is essential.

摘要

引言 人工智能(AI)与心血管疾病推动了医疗保健和医学研究的重大进展。本研究聚焦于调查2005年至2022年“人工智能与心血管疾病”相关文章中第一作者的性别平等比例。鉴于人工智能在心血管医学中的应用日益广泛,研究这一动态领域中的性别代表性至关重要。

目的 本研究旨在通过考察2005年至2022年第一作者发表文章的性别分布,直观呈现人工智能与心血管疾病领域性别平等状况的变化,为性别差异以及促进科学界包容性和多样性的潜力提供重要见解。

方法 对2005年至2022年发表的所有学术文章进行了审查。记录每项研究第一作者的性别。由于2023年有五个月可获取的文章极少,故将其排除。随后根据第一作者的性别、种族和原籍国对研究进行分类。

结果 总体性别比例为0.54,男性作者(275人)多于女性作者(149人)。2022年,女性第一作者发表的文章最多(59篇),而男性第一作者发表了113篇文章。对2027年的预测显示,男性作者(950篇)和女性作者(580篇)关于该主题的发表文章数量将显著增加。在此期间,女性第一作者的数量逐渐增加,尽管与男性第一作者相比,她们的占比仍然较低。

结论 在第一作者身份方面,我们的分析发现存在性别差距,男性作者占主导地位。若要实现学术性别平等,必须鼓励女性参与。通过指导和监管变革营造包容氛围,可增强女性研究人员的能力。为使知识公平推进,合作至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d53/10590122/2072b25c55ce/cureus-0015-00000045695-i01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验