Move from a candidate paper set to inclusion and exclusion decisions with AI recommendations you can review, override, and audit before the synthesis starts.
Editable workflow
Each stage stays visible, so you can revise the scope or evidence choices before generating again.
Search and retrieve a deduplicated candidate set.
Review relevance scores and AI screening recommendations.
Confirm inclusion, record exclusions, resolve uncertain papers.
Pass only the included set to extraction and synthesis.
screening support before full-text review
AI recommends, the reviewer decides
decisions and reasons stay attached to each paper
LitSynth treats AI as support for a review process. You keep control of which papers enter the evidence set and which claims need another check.
Score retrieved papers for relevance against your review question.
Receive include and exclude recommendations with stated reasons.
Confirm, override, or defer decisions on borderline papers.
Export a screening record that survives later inspection.
AI can prioritize records, apply your eligibility criteria consistently, and surface uncertain cases. The amount of manual review saved varies by topic and corpus, so final inclusion and exclusion decisions stay with the reviewer.
Rayyan now supports full-text screening, data extraction, and risk-of-bias workflows. LitSynth differentiates by connecting inspectable screening decisions to its own evidence extraction and cited synthesis while keeping AI recommendations reviewable and auditable.
Yes. Each recommendation carries a stated reason tied to your eligibility criteria, and exclusions remain visible in the screening record rather than disappearing from the set.
PRISMA requires transparent reporting of how screening was done, not a specific tool. You should document AI assistance in your methods and retain human verification, which LitSynth supports by keeping decisions inspectable.
Search papers, screen the evidence, generate a cited draft, and return to earlier decisions whenever the scope needs to change.
Start your review