What Is Lumina Reviewer?
AI-assisted systematic review screening software built for researchers who need faster title and abstract screening without losing reviewer control.
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What is Lumina Reviewer?
Lumina Reviewer, often shortened to Lumina, is an AI-assisted abstract screening tool designed to accelerate the systematic review process. It uses active learning and semantic search to help researchers identify relevant papers faster, reducing manual screening workload while keeping reviewers in control of inclusion and exclusion decisions.
Whether you're conducting a medical systematic review, literature review, or meta-analysis, Lumina Reviewer helps you focus on what matters most—a Covidence and Rayyan alternative with AI ranking, PubMed integration, and PRISMA diagram generation.
How to evaluate Lumina Reviewer
Looking for a Lumina Reviewer review? Start with verifiable product evidence rather than an invented rating. Use the free demo to inspect the screening queue, compare the published plan limits, and check whether imports, reviewer controls, and exports fit your protocol.
Test the free demo
Inspect AI relevance scores, abstracts, explanations, and human-controlled decisions using sample papers.
Verify pricing and limits
Compare project, paper, collaboration, and dual-screening limits before creating a paid project.
Review AI transparency
Understand how AI supports prioritization while researchers retain responsibility for decisions.
Read the privacy terms
Check how project data, uploaded files, and account information are handled.
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How It Works
Create a Project
Define your research question and inclusion/exclusion criteria. The more detailed your criteria, the better the AI can assist you.
Upload Your Papers
Import your search results from PubMed, Scopus, Web of Science, or any database. We support RIS and CSV formats.
AI Ranks Your Papers
Lumina generates semantic embeddings using OpenAI and ranks papers by relevance to your criteria. The most likely relevant papers appear first.
Screen with AI Assistance
Make include/exclude decisions quickly. The system learns from your choices and continuously re-ranks remaining papers (Active Learning).
Export Results
Export your screened papers to CSV, RIS, or Excel format for use in your review.
Active Learning
The system learns from every decision you make. After each screening choice, a machine learning model retrains and re-ranks remaining papers to surface relevant ones faster.
Semantic Search
OpenAI embeddings understand the meaning of scientific text, not just keywords. Papers are ranked by semantic similarity to your inclusion criteria.
Pixel-Bot
Get a second opinion from AI when you're unsure about a paper. Pixel-Bot provides reasoning based on your criteria to help you decide.
Review Monitoring
Keep a completed review current with recurring searches. New papers are deduplicated, ranked against your review, and held in an update inbox until you accept them.
Automated PRISMA
Manually tracking exclusions is a thing of the past. Lumina tracks your screening pipeline and generates a PRISMA 2020 flow diagram from your project counts.
Stopping Strategies
Not sure when to stop screening? Lumina supports stopping-strategy signals that help teams weigh workload reduction against recall risk.
AI Transparency
Generate PRISMA-trAIce compliant methods paragraphs and comprehensive audit trails for your publications, ensuring reproducibility.
Ready to Start?
Create your first project and experience AI-powered screening.