Women’s Health Archives

Announcing a new article publication for Cardiovascular Innovations and Applications journal. The global burden, secular trends, and future projections of ischemic cardio-cerebrovascular disease (ICCVD), a composite indicator of ischemic heart disease (IHD) and ischemic stroke (IS), have not been specifically described in women. This study was aimed at estimating the global ICCVD burden from 1990 to 2021, and the projected burden from 2022 to 2050, in women.

Age-standardized incidence, prevalence, mortality, and disability-adjusted life years (DALYs) with 95% uncertainty intervals (UI), and corresponding average annual percentage change (AAPC) with 95% confidence intervals (CI) and associated P-values, were calculated for women at global, regional, and national levels according to data from Global Burden of Disease 2021. Age-specific patterns, DALYs attributable to risk factors, and DALY projections to 2050 were also examined.

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Announcing a new article publication for Cardiovascular Innovations and Applications journal. Artificial intelligence (AI) is a method of data analysis that enables machines to learn patterns from datasets and make predictions. With advances in computer chip technology for data processing and the increasing availability of big data, AI can be leveraged to improve cardiovascular care for women – an often understudied and undertreated population. The authors of this article briefly discuss the potential benefits of AI-based solutions in cardiovascular care for women and also highlight inadvertent drawbacks to the use of AI and novel digital technologies in women.

https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2023.0024

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Wendy Tatiana Garzon-Siatoya, Andrea Carolina Morales-Lara and Demilade Adedinsewo. Artificial Intelligence Solutions for Cardiovascular Disease Detection and Management in Women: Promise and Perils. CVIA. 2023. Vol. 8(1). DOI: 10.15212/CVIA.2023.0024