{rfName}
Ar

Indexed in

License and use

Icono OpenAccess

Citations

1

Altmetrics

Grant support

Funding Sources Dr Adedinsewo is supported by the Mayo Building Interdisciplinary Research Careers in Women's Health (BIRCWH) Program funded by the National Institutes of Health (grant number K12 HD065987) . The content is solely the responsibility of the authorsand does not necessarily represent the official views of the National Institutes of Health.

Analysis of institutional authors

Share

July 12, 2023
Publications
>
Editorial Material
Sí

Artificial Intelligence Solutions for Cardiovascular Disease Detection and Management in Women: Promise and Perils

Publicated to:Cardiovascular Innovations And Applications. 8 (1): - 2023-04-01 8(1), DOI: 10.15212/CVIA.2023.0024

Authors: Garzon-Siatoya, WT; Morales-Lara, AC; Adedinsewo, D

Affiliations

Mayo Clin, Dept Cardiovasc Med, 4500 San Pablo Rd S, Jacksonville, FL 32224 USA - Author

Abstract

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. We 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.

Keywords

AlgorithmArtificial intelligenceCardiovascular diseaseHealthMachine learningWomen's health

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Cardiovascular Innovations And Applications, and although the journal is classified in the quartile Q4 (Agencia WoS (JCR)), its regional focus and specialization in Cardiac & Cardiovascular Systems, give it significant recognition in a specific niche of scientific knowledge at an international level.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-22:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 12.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 24 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 15.5.
  • The number of mentions on the social network X (formerly Twitter): 11 (Altmetric).
  • The number of mentions in news outlets: 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Additionally, the work has been submitted to a journal classified as Diamond in relation to this type of editorial policy.