ArticleArchivos de cardiologia de Mexico2025
[Artificial intelligence and cardiology in Latin America: a 5-year bibliometric analysis of scientific research].
Article in Archivos de cardiologia de Mexico, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
8 authors.
Funding
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Abstract
Objective: Artificial intelligence (IA) is transforming healthcare by enhancing diagnosis and treatment, with up to 90% accuracy in cardiology. However, its adoption faces challenges, including limited training and resources in some regions. While scientific output in Latin America and Caribe (LAC) has grown, it remains low compared to other regions, underscoring the need for innovative solutions to the cardiovascular health crisis. This study analyzes AI-related cardiology research in LAC from 2018 to 2023. Method: This descriptive scientometric study used the Scopus database to analyze AI in cardiology research in LAC. SciVal, VOSviewer, and R Studio were applied to assess publication volume, collaboration types, citations, and research networks. Results: A total of 152 documents, 1,054 citations, and 1,095 authors were identified, averaging 6.9 citations per document. Key topics included atrial fibrillation, percutaneous coronary intervention, and cardiac monitoring. Colombia, Argentina, and Mexico led in scientific output, with international collaboration accounting for 63.8% of publications and an upward trend in research output over time. Conclusions: AI-related cardiology research in LAC is growing, but certain limitations. This analysis highlights key areas and the need to enhance scientific production. It provides a base for future studies and collaborations to address the cardiovascular health crisis and expand AI adoption in cardiovascular care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.