ASReview vs Systematicly

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.

Systematicly is a web-based research platform for systematic reviews, primary research, ethics applications and research proposals. It can analyze a topic using PICO, PECO or SPIDER frameworks and produce Boolean searches for databases including PubMed, Scopus, Web of Science, ERIC and PsycINFO. Reviewers can screen titles and abstracts and upload PDFs for structured field extraction. Analysis options include 1,033 statistical functions, plain-English analysis, meta-analysis, plots, sensitivity analysis and GRADE assessment. The platform lists eight review types, plus publishing tools such as AI-assisted manuscripts and proposals, PRISMA diagrams, journal recommendations and reviewer response letters. It retrieves PDFs automatically from PMC, Unpaywall and EuropePMC, and supports ClinicalTrials.gov imports and several reference formats. The free Explorer plan is limited to three active personal drafts, one lifetime feasibility preview and three lifetime Evidence Answers. Paid one-time options include a single Evidence Answer for $19, paid once and literature review packages from $149, paid once. The security page says user data is not used to train AI models; Anthropic’s commercial API may retain inputs and outputs for up to 30 days for trust and safety monitoring.