Inteligência artificial na saúde: uma análise bibliométrica da produção científica recente

Abstract

Artificial intelligence is a scientific discipline that deals with the construction of intelligent machines, especially intelligent computer programs. One of the areas of great relevance for the use of artificial intelligence is healthcare. In this context, the objective of this research was to map and analyze the scientific production on artificial intelligence in healthcare, to understand how research in this area is developing in different parts of the world. This is an exploratory-descriptive study, with a quantitative approach. The method used was the Consolidated Meta-Analytic Approach Theory. The data were collected from the Scopus, Web of Science and Pubmed databases, and analyzed using bibliometric techniques. The corpus consisted of 53 publications. The results indicate an increase in publications on artificial intelligence in healthcare since 2018. A total of 304 authors were identified, of which 47% published in co-authorship. The country with the largest number of publications is the United Kingdom, with 20.6% of the total publications in the inventory. The analysis of keyword occurrences showed that there were seven clusters of terms, with the most frequent term being artificial intelligence, followed by health care and machine learning. The analysis of the articles' themes highlights the diversity and complexity of the topics addressed in research on artificial intelligence in healthcare. It is concluded that the research objective was achieved, indicating promising directions for future research on the topic.

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