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

ABSTRACT:

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, the WebHarvy software (SysNucleus, India) was used to download data from the Resuscitation journal's website through the technique of web scraping. Next, the Chat Generative Pre-trained Transformer 4 (ChatGPT-4) application programming interface (Open AI, USA) was used to implement the multinomial classification of abstract titles following the ERC 2021 guidelines topics.

Results

From 2012 to 2022 a total of 2491 abstracts have been published at ERC congresses. Published abs

SUBMITTER: Fijacko N 

PROVIDER: S-EPMC10899017 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature