Artificial Intelligence for Literature Reviews: Opportunities and Challenges

Francisco Bolanos, Angelo Salatino, Francesco Osborne, Enrico Motta
2/13/2024
cs.AIcs.HCcs.IR

No confident code implementation found for this paper.

Abstract

This manuscript presents a comprehensive review of the use of Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs). A SLR is a rigorous and organised methodology that assesses and integrates previous research on a given topic. Numerous tools have been developed to assist and partially automate the SLR process. The increasing role of AI in this field shows great potential in providing more effective support for researchers, moving towards the semi-automatic creation of literature reviews. Our study focuses on how AI techniques are applied in the semi-automation of SLRs, specifically in the screening and extraction phases. We examine 21 leading SLR tools using a framework that combines 23 traditional features with 11 AI features. We also analyse 11 recent tools that leverage large language models for searching the literature and assisting academic writing. Finally, the paper discusses current trends in the field, outlines key research challenges, and suggests directions for future research.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review

89% match2024

Large Language Models for Combinatorial Optimization: A Systematic Review

86% match2025

Exploring the Use of ChatGPT for a Systematic Literature Review: a Design-Based Research

85% match2024

AI Insights: A Case Study on Utilizing ChatGPT Intelligence for Research Paper Analysis

84% match2024

Artificial intelligence to automate the systematic review of scientific literature

83% match2024

Methods for Knowledge Graph Construction from Text Collections: Development and Applications

82% match2026

Cite this paper

@article{bolanos2024artificial,
  title  = {Artificial Intelligence for Literature Reviews: Opportunities and Challenges},
  author = {Francisco Bolanos and Angelo Salatino and Francesco Osborne and Enrico Motta},
  year   = {2024},
  eprint = {2402.08565},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2402.08565v2}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2402.08565.svg)](https://codeofpaper.com/paper/2402.08565)

Discussion