ASReview LAB guide#
ASReview LAB is a user-friendly, web-based application designed to make the systematic review process more efficient. Built on the powerful ASReview Python package, it leverages state-of-the-art active learning algorithms to make systematic reviews faster, more efficient, and transparent. Whether you are conducting a systematic review for academic research, policy-making, or other purposes, ASReview LAB provides an intuitive interface and robust tools to support your work.
The application is highly versatile, enabling users to screen large datasets, simulate review processes, and manage projects with ease. By integrating machine learning, ASReview LAB reduces the workload of reviewers while maintaining high accuracy and reproducibility.
See also
Questions can be asked on GitHub Discussions. For bug reports and feature requests, please submit an issue on GitHub.
Getting started
Data
AI Models
Reviews and projects