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.
Favara, Giuliana (57203662452); Barchitta, Martina (6505833697); Maugeri, Andrea (56740683100); Magnano San Lio, Roberta (57208147864); Agodi, Antonella (36774232400)
The Research Interest in ChatGPT and Other Natural Language Processing Tools from a Public Health Perspective: A Bibliometric Analysis
2024
10.3390/informatics11020013
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196772752&doi=10.3390%2finformatics11020013&partnerID=40&md5=110cda78cb2bafca95c534d9dba1012c
Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, Catania, 95123, Italy
All Open Access; Gold Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Subscribirse
Notificación de
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio