ASReview vs CADIMA

ASReview is a free, open-source tool that uses AI-aided active learning to prioritize records for systematic review screening, with a human making screening decisions. Its site says the approach can reduce screening workload by up to 95%. Users can simulate AI-aided review to compare models, while Crowdscreen supports parallel screening with access managed by administrators through a private login system. The described model families are ELAS-Ultra, ELAS-Heavy, and language-agnostic ELAS-L; ELAS-Heavy and ELAS-L require the Dory package. ASReview works with reference managers including EndNote and PubMed, and imports and exports CSV, RIS, and XLSX files. Documentation includes a Python API, while the institutional workflow also describes a REST API and CLI for automation. In a local setup, data stays on the user's computer; server deployments keep it in the organization's environment and follow its policies. Support includes documentation, tutorials, videos, community discussion, and organizational workshops and consultancy. ASReview LAB costs nothing with no licensing fees or subscriptions, though running hardware or a server may incur costs.

CADIMA is a free web application for planning, conducting, and documenting systematic reviews, systematic maps, and other literature reviews. It accepts review questions from any research discipline and lets review teams work together worldwide, with no stated limit on reviewers at different stages. During screening, records can be allocated automatically while allowing independent and parallel assessment. CADIMA removes duplicate records automatically and supports bulk PDF uploads. It records the review process in detail, while its evidence synthesis database provides guidance and hosts synthesis data. The site describes planned archiving for review and evidence-map data and modules. Access data are used for statistical purposes and are not passed to third parties, according to the privacy policy. A scientist-and-programmer team handles questions, and user feedback informs further development. CADIMA is published by the Julius Kühn-Institut in Quedlinburg, Germany. The footer identifies version 2.2.4.2, dated April 2023.