首页|University of British Columbia Reports Findings in Artificial Intelligence (Auth orship gender among articles about artificial intelligence in breast imaging)

University of British Columbia Reports Findings in Artificial Intelligence (Auth orship gender among articles about artificial intelligence in breast imaging)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Vancouver, Canada , by NewsRx journalists, research stated, "The purpose of this study is to inves tigate the variance of women authors, specifically first and senior authorship a mong peer-reviewed artificial intelligence-related articles with a specific focu s in breast imaging. A strategic search was conducted in July 2022 according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to capture all existing and publicly available peer-reviewed articles intersecting AI and breast imaging." The news correspondents obtained a quote from the research from the University o f British Columbia, "Primary outcomes were first and senior authors' gender, whi ch were assigned with the aid of an emailed self-declaration survey. Secondary o utcomes included country of article, journal impact factor, and year of publicat ion. Comparisons were made using logistic regression models and analysis of vari ances. 115 studies were included in the analysis. Women authors represented 35.7 % (41/115) and 37.4% (43/115) of first and senior au thors, respectively. Logistic regression modelling showed a significant increase in women senior authors over time but no changes in women first authors. Impact factor was not associated with female authorship and certain countries had wome n authorship reach over 50%. This study demonstrates that there is a significant authorship gender gap in artificial intelligence breast imaging re search. An increasing temporal trend of senior authors in breast imaging AI-rela ted research is a promising prognosis for more women voices in this field."

VancouverCanadaNorth and Central Ame ricaArtificial IntelligenceEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.1)