EasySLR uses purpose-specific GPT models across different review stages to optimise accuracy, performance, and cost efficiency. Each model has been selected based on the complexity and nature of the task it supports, ensuring reliable AI assistance throughout the systematic review workflow.
Title-Abstract (TiAB) Screening
This setup ensures fast and consistent interpretation of abstracts while maintaining strong alignment with PICOS criteria.
Full-Text (FT) Screening
PICOS Extraction: GPT-5.6-luna
Screening Decisions: GPT-5.6-luna
Table & Figure Extraction - GPT-5.4-mini
Data Extraction (DE)
Search Query Generation
Protocol Generation
Generates clear, structured, and methodologically sound protocol content based on your research objectives and search query.
Protocol Text Review
Ensures clarity, consistency, and methodological soundness in protocol text through advanced language understanding.
Conflict Analysis
Improves identification and interpretation of reviewer disagreements across screening and extraction stages.
Report Generation
Supports accurate, well-structured reporting for screening metrics, QC, and audit documentation.
PDF Upload Using AI
Enables fast and efficient matching of PDFs.
Title & Abstract Mini Data Extraction AI
Supports rapid extraction of key study details from titles and abstracts to accelerate early-stage evidence synthesis workflows.
Full-Text Mini Data Extraction AI
Enables structured extraction and summarisation of critical study information directly from full-text articles with improved contextual understanding.
Data Extraction Form Import
Interprets Excel-based data extraction forms and converts them into structured fields for use in EasySLR.
Screening Protocol Optimisation
Reviews and refines screening criteria to improve clarity, completeness, and consistency for Title–Abstract and Full-Text screening.
Supplementary-File Discovery
Searches for publicly available supplementary materials and links them to the corresponding full-text articles.
Data Extraction Context Planner
Analyses extraction requirements and identifies the relevant context needed to support accurate and consistent data extraction.
Research Objective and PICOS Validation
Evaluates the research objective and PICOS framework for clarity and alignment before supporting the development of a search strategy.
Note: These are the AI models currently in use. They are regularly updated, and any changes are also highlighted in the changelog.