Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses

Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses

Aims: The aim of this study is to use generative artificial intelligence to perform bibliometric analysis on abstracts published at European Resuscitation Council (ERC) annual scientific congress and define trends in ERC guidelines topics over the last decade. Methods: In this bibliometric analysis,...

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Bibliographic Details
Main Authors: Nino Fijačko, Ruth Masterson Creber, Benjamin S. Abella, Primož Kocbek, Špela Metličar, Robert Greif, Gregor Štiglic
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Resuscitation Plus
Subjects:
Emergency medicine
European Resuscitation Council
Congress
Bibliometrics analysis
Generative artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2666520424000353

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http://www.sciencedirect.com/science/article/pii/S2666520424000353

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