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Artículo

The Research Interest in ChatGPT and Other Natural Language Processing Tools from a Public Health Perspective: A Bibliometric Analysis

Resumen

Background: Natural language processing, such as ChatGPT, demonstrates growing potential across numerous research scenarios, also raising interest in its applications in public health and epidemiology. Here, we applied a bibliometric analysis for a systematic assessment of the current literature related to the applications of ChatGPT in epidemiology and public health. Methods: A bibliometric analysis was conducted on the Biblioshiny web-app, by collecting original articles indexed in the Scopus database between 2010 and 2023. Results: On a total of 3431 original medical articles, “Article” and “Conference paper”, mostly constituting the total of retrieved documents, highlighting that the term “ChatGPT” becomes an interesting topic from 2023. The annual publications escalated from 39 in 2010 to 719 in 2023, with an average annual growth rate of 25.1%. In terms of country production over time, the USA led with the highest overall production from 2010 to 2023. Concerning citations, the most frequently cited countries were the USA, UK, and China. Interestingly, Harvard Medical School emerges as the leading contributor, accounting for 18% of all articles among the top ten affiliations. Conclusions: Our study provides an overall examination of the existing research interest in ChatGPT’s applications for public health by outlining pivotal themes and uncovering emerging trends.
Fabiano, Bruno (54790593300); Guastaferro, Mariangela (57221091243); Pettinato, Margherita (56694938500); Pasman, Hans J. (7003939527)
Towards strengthening resilience of organizations by risk management tools: A scientometric perspective on COVID-19 experience in a healthcare and industrial setting
2024
10.1002/cjce.25196
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184201403&doi=10.1002%2fcjce.25196&partnerID=40&md5=7b1f6c44ed3c8ae243f0140f72ef5e7d
Civil, Chemical and Environmental Engineering Department (DICCA)—Genoa University, Genoa, Italy; TEES Mary Kay O’Connor Process Safety Center, Texas A&M University System, College Station, TX, United States
All Open Access; Hybrid Gold Open Access
Scopus
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