ARTIFICIAL INTELLIGENCE IN CARDIOLOGY: A BIBLIOMETRIC ANALYSIS OF BRAZILIAN RESEARCH
This study presents a bibliometric analysis of Brazilian scientific production on the application of artificial intelligence (AI) in cardiology between 2013 and 2023. A total of 31 publications indexed in the Scopus database were analyzed, involving 334 authors, with a notable increase in studies after 2018. The most productive and influential researcher was Antonio Luiz Pinho Ribeiro, from UFMG. A high level of collaboration among authors was observed, forming clusters based on coauthorship. The main types of documents were journal articles, conference papers, and reviews, primarily in the fields of medicine and computer science. The most frequent publication source was Arquivos Brasileiros de Cardiologia, with the most cited work focusing on photoplethysmography signal analysis. Funding came mainly from national institutions such as CNPq and FAPEMIG. The most recurrent keywords were "artificial intelligence," "machine learning," and "cardiology." International collaboration was strongest with the USA, China, and Portugal. The upward trend suggests growing interest and investment in the field.
Authors
- Fernanda Moerbeck Cardoso Mazzetto (ORCID: https://orcid.org/0000-0001-9276-219X)
- Rodolfo de Oliveira Medeiros (ORCID: https://orcid.org/0000-0002-4930-684X)
- María José Sanches Marín (ORCID: https://orcid.org/0000-0001-6210-6941)
- Elza de Fátima Ribeiro Higa (ORCID: https://orcid.org/0000-0001-5772-9597)
- Brianda de Oliveira Ordonho Sígolo (ORCID: https://orcid.org/0000-0002-7886-6985)
- Juliana Pascon dos Santos
- Lívia Faria Orso (ORCID: https://orcid.org/0000-0003-0602-5578)
- Maria Carolina Cassaro Yasuda
- Cristiano Machado Galhardi (ORCID: https://orcid.org/0000-0001-8741-1336)
- Cintia Gisele de Andrade Pozenato
- Aline Maria Noli Mascarin
- Kelly Cristina Encide de Vasconcelos Donadai (ORCID: https://orcid.org/0009-0006-9081-2046)
- Viviane Canhizares Evangelista de Araújo
- Paulo Vitor Cassaro Yasuda
- Milena Cristina Campassi
Publication Details
- Journal
- Interciencia
- Published
- 2025-01-01
- DOI
- https://doi.org/10.59671/ctqfe
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00