Trends in scientific output on artificial intelligence and health in Latin America in Scopus

Javier Gonzalez-Argote; Patricia Alonso-Galbán; Adrián Alejandro Vitón-Castillo; Carlos Oscar Lepez; William Castillo-Gonzalez; Mabel Cecilia Bonardi; Carlos Alberto Gómez Cano

doi:10.4108/eetsis.vi.3231

Authors

Javier Gonzalez-Argote Universidad Abierta Interamericana
Patricia Alonso-Galbán Centro Nacional de Información de Ciencias Médicas
Adrián Alejandro Vitón-Castillo Universidad de Ciencias Médicas de Pinar del Río
Carlos Oscar Lepez University of Buenos Aires
William Castillo-Gonzalez University of Buenos Aires
Mabel Cecilia Bonardi Universidad de Ciencias Empresariales y Sociales
Carlos Alberto Gómez Cano Corporación Unificada Nacional de Educación Superior

DOI:

https://doi.org/10.4108/eetsis.vi.3231

Keywords:

Artificial Intelligence, Health Sciences, Medicine, bibliometrics, scientific output, Latin America

Abstract

Introduction: technological developments in artificial intelligence and health are necessary for Latin American health systems.

Objective: to describe the trends in scientific production on artificial intelligence and health in Latin America in Scopus.

Method: This is a retrospective bibliometric study of Latin American authors' scientific production on artificial intelligence and health in Scopus between 2012 and 2021. Production, visibility and impact indicators were used. VOSviewer and SciVal were used for data analysis.

Results: 2871 articles were published, with a variation between 2012 and 2021 of 94.98%. 2,397 articles were original, and 2,741 were written in English. 58.3% were published in first-quartile journals, the most productive being Sensors (Ndoc=79) and Plos One (Ndoc=66). 64,128 citations were received (mean of 22.3 citations per article). Brazil was the most productive country (Ndoc=1420), and the institution was the University of São Paulo (Ndoc=288). 498 thematic groups were identified, and 1376 themes. 54% of the articles had international collaboration and 3.3% with academic-corporation collaboration.

Conclusions: there is a growing scientific production on artificial intelligence and health in Latin America, written mainly in English, medical, engineering and computer science research areas, disseminated in specialized magazines in the first quartiles. Brazil and its institutions were the top producers. The main topics were predictive models and the application of artificial intelligence for classifying, diagnosing and treating diseases.

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