Research Screener

Spec sheet

Purpose

Research Screener uses machine learning to help find relevant research faster during systematic reviews.Read 9 Oct 2026 · researchscreener.com

Support

The site lists Dr. Leo Ng and Dr. Kevin Chai as contact people and provides [email protected].Read 9 Oct 2026 · researchscreener.com

Abstract ranking

Machine learning presents the most relevant abstracts first.Read 9 Oct 2026 · researchscreener.com

Demo

The site offers a free demo.Read 9 Oct 2026 · researchscreener.com

Exports

Export options are provided for screening data and results.Read 9 Oct 2026 · researchscreener.com

Institutional licensing

Institutional licensing is available by contacting the maker.Read 9 Oct 2026 · researchscreener.com

Limits

The listed plans allow up to 5 collaborators and 30,000 abstracts per project, with 1 year to start a project.Read 9 Oct 2026 · researchscreener.com

Project setup

Users upload potentially relevant abstracts from a reference tool to start a project.Read 9 Oct 2026 · researchscreener.com

Screening

Users can flag abstracts as relevant and record individual notes.Read 9 Oct 2026 · researchscreener.com

Team review

The platform lets teams clarify questions or differences during screening.Read 9 Oct 2026 · researchscreener.com

Time savings

The site says the product can save up to 96% of abstract screening time.Read 9 Oct 2026 · researchscreener.com

Validation

The site says its algorithm has been validated on numerous systematic and scoping reviews.Read 9 Oct 2026 · researchscreener.com

Plans and prices

Every Research Screener plan and price →

Where Specifiction places it

• AI Literature Review Software#31 of 387.0