EasySLR offers an AI‑powered platform that automates title/abstract screening, PICOS extraction, and data extraction for systematic reviews, using fine‑tuned large language models to generate inclusion suggestions and structured outputs. The tool provides customizable workflows, collaborative cloud workspaces, and export options, helping researchers and assessment teams complete evidence syntheses faster and with higher reproducibility.
Funding
Funding not disclosed
Founders
Product
Problem
Systematic reviews require extensive manual effort to screen titles/abstracts, extract PICOS criteria, and pull data from full texts, leading to slow evidence synthesis and high risk of errors.
Solution
EasySLR provides an AI‑powered platform that automates the three most labor‑intensive stages of systematic reviews: title/abstract screening, full‑text PICOS extraction, and data extraction. The system leverages large language models fine‑tuned on biomedical literature to generate high‑confidence inclusion suggestions, extract structured PICOS elements, and pull key outcome data directly from PDFs. Users can configure custom extraction forms and workflows that align with their protocol, while the AI assistant acts as a co‑reviewer, flagging uncertainties for human verification. All results are stored in a cloud workspace with export options for downstream analysis, dramatically reducing review time and improving reproducibility.
Target Audience
Primary users are academic researchers, health‑technology assessment teams, and consulting firms that conduct systematic reviews and meta‑analyses in the biomedical and health‑policy domains.
Features
- AI‑driven title and abstract screening with duplicate detection and confidence scores
- Automated extraction of Population, Intervention, Comparator, Outcomes, and Study design (PICOS) from full‑text articles
- Structured data extraction that captures study design, sample size, outcomes, and source citations
- Customizable extraction templates and workflow pipelines to match any review protocol
- Cloud‑based project dashboard for collaborative review, audit trails, and export to CSV, JSON, or reference managers
- Integration of a conversational AI assistant that provides real‑time guidance and validation during screening and extraction