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Breaking Barriers: Investigating Gender Representation in the First Authors of Cardiovascular Disease and Artificial Intelligence Publications
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 fr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590122/ https://www.ncbi.nlm.nih.gov/pubmed/37868462 http://dx.doi.org/10.7759/cureus.45695 |
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author | Sharma, Sampda Anghole, Anurag A Pathare, Snehal B Nagare, Manasi R Choubey, Shreya Malik, Atiya |
author_facet | Sharma, Sampda Anghole, Anurag A Pathare, Snehal B Nagare, Manasi R Choubey, Shreya Malik, Atiya |
author_sort | Sharma, Sampda |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10590122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-105901222023-10-22 Breaking Barriers: Investigating Gender Representation in the First Authors of Cardiovascular Disease and Artificial Intelligence Publications Sharma, Sampda Anghole, Anurag A Pathare, Snehal B Nagare, Manasi R Choubey, Shreya Malik, Atiya Cureus Internal Medicine 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. Cureus 2023-09-21 /pmc/articles/PMC10590122/ /pubmed/37868462 http://dx.doi.org/10.7759/cureus.45695 Text en Copyright © 2023, Sharma et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Internal Medicine Sharma, Sampda Anghole, Anurag A Pathare, Snehal B Nagare, Manasi R Choubey, Shreya Malik, Atiya Breaking Barriers: Investigating Gender Representation in the First Authors of Cardiovascular Disease and Artificial Intelligence Publications |
title | Breaking Barriers: Investigating Gender Representation in the First Authors of Cardiovascular Disease and Artificial Intelligence Publications |
title_full | Breaking Barriers: Investigating Gender Representation in the First Authors of Cardiovascular Disease and Artificial Intelligence Publications |
title_fullStr | Breaking Barriers: Investigating Gender Representation in the First Authors of Cardiovascular Disease and Artificial Intelligence Publications |
title_full_unstemmed | Breaking Barriers: Investigating Gender Representation in the First Authors of Cardiovascular Disease and Artificial Intelligence Publications |
title_short | Breaking Barriers: Investigating Gender Representation in the First Authors of Cardiovascular Disease and Artificial Intelligence Publications |
title_sort | breaking barriers: investigating gender representation in the first authors of cardiovascular disease and artificial intelligence publications |
topic | Internal Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590122/ https://www.ncbi.nlm.nih.gov/pubmed/37868462 http://dx.doi.org/10.7759/cureus.45695 |
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