AiReview: An Open Platform for Accelerating Systematic Reviews with LLMs
Systematic reviews are fundamental to evidence-based medicine.Creating one is time-consuming and labour-intensive, mainly due to the need to screen, or assess, many studies for inclusion in the review.Existing tools help streamline this process, mostly using traditional machine learning.Large language models (LLMs) offer new opportunities to speed up screening, yet no tool currently enables users to directly apply LLMs or ensures systematic and transparent use of these methods.This paper presents (i) a flexible framework for using LLMs in systematic review tasks, especially title and abstract screening, and (ii) a web-based interface for LLMassisted screening.Together, they form AiReview-a novel platform that connects cutting-edge LLM-assisted screening methods with real-world systematic review practice.The live tool is available at https://aireview.ielab.io.
Authors
- Teerapong Leelanupab (ORCID: https://orcid.org/0000-0002-8117-0612)
- Harrisen Scells (ORCID: https://orcid.org/0000-0001-9578-7157)
- Guido Zuccon (ORCID: https://orcid.org/0000-0003-0271-5563)
- Martin Potthast (ORCID: https://orcid.org/0000-0003-2451-0665)
- Xinyu Mao (ORCID: https://orcid.org/0000-0001-6357-2311)
Institutions
- University of Kassel (DE)
- The University of Queensland (AU)
- University of Tübingen (DE)
Publication Details
- Published
- 2025-07-13
- DOI
- https://doi.org/10.1145/3726302.3730133
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00