Worldwide research landscape of artificial intelligence in lung disease: A scientometric study.

ABSTRACT:

Purpose

To perform a comprehensive bibliometric analysis of the application of artificial intelligence (AI) in lung disease to understand the current status and emerging trends of this field.

Materials and methods

AI-based lung disease research publications were selected from the Web of Science Core Collection. Citespace, VOS viewer and Excel were used to analyze and visualize co-authorship, co-citation, and co-occurrence analysis of authors, keywords, countries/regions, references and institutions in this field.

Results

Our study included a total of 5210 papers. The number of publications on AI in lung disease showed explosive growth since 2017. China and the United States lead in publication numbers. The most productive author were Li, Weimin and Qian Wei, with Shan

SUBMITTER: Zeng M 

PROVIDER: S-EPMC11141367 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature