Trend analysis of technology by using F-trem japanese patent and core technology clarification with Quality Function Deployment (QFD) approach

Ishii, Yoshie; Haruyama, Shigeko

doi:10.56294/saludcyt2022196

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…However, this impacts logical thinking and reasoning processes [20][21][22] . Therefore, the need for education in the use of AI is pointed out so that it is beneficial for scientific-technical development in the health area, requiring the will of the states to finance research projects in this research area 8,23 . Bibliometrics is an invaluable tool for evaluating science.…”

Section: Introductionmentioning

confidence: 99%

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

González-Argote

Alonso-Galbán

Castillo

et al. 2023

EAI Endorsed Scal Inf Syst

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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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