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.

本文综述了人工智能在系统文献综述中的应用，重点研究了 AI 技术在文献综述的半自动创建中的应用，特别是在筛选和提取阶段。通过对 21 个主流文献综述工具的分析，以及对 11 个利用大型语言模型进行文献搜索和学术写作辅助的最新工具的分析，讨论了领域内的当前趋势，概述了关键研究挑战，并提出了未来研究的方向。