Year: 2025
Type: article
Abstract: 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.
Source: Interciencia
DOI: 10.59671/ctqfe
Authors: Brianda de Oliveira Ordonho Sigolo, Mara Flavia Mamedio Avallone, Rodolfo de Oliveira Medeiros, Cristiano Machado Galhardi, Viviane Canhizares Evangelista de Araujo, Paulo Vitor Cassaro Yasuda, Kelly Cristina Encide de Vasconcelos Donadai, Aline Maria Noli Mascarin, Juliana Pascon dos Santos, Livia Faria Orso, Milena Cristina Campassi, Maria Carolina Cassaro Yasuda, Cintia Gisele de Andrade Pozenato, Fernanda Moerbeck Cardoso Mazzetto, Elza de Fatima Ribeiro Higa, Maria Jose Sanches Marin
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4411933763