The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review
Medical University of South Carolina · Clemson University
Indexed incrossrefpubmed
Abstract
Objectives
This study aims to summarize the usage of large language models (LLMs) in the process of creating a scientific review by looking at the methodological papers that describe the use of LLMs in review automation and the review papers that mention they were made with the support of LLMs.
Materials And Methods
The search was conducted in June 2024 in PubMed, Scopus, Dimensions, and Google Scholar by human reviewers. Screening and extraction process took place in Covidence with the help of LLM add-on based on the OpenAI GPT-4o model. ChatGPT and Scite.ai were used in cleaning the data, generating the code for figures, and drafting the manuscript.
Citation impact
81
total citations
- FWCI
- 84.19
- Percentile
- 100%
- References
- 143
Citations per year
Authors
5Topics & keywords
Topics
Keywords
- Scopus
- Data extraction
- Automation
- Computer science
- Systematic review
- Process (computing)
- MEDLINE
- Data science
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