Loading...
Optional AI assistance

A collaborative platform for evidence synthesis

EvidenceBee supports systematic reviews and meta-analyses, including screening, data extraction and statistical synthesis, with optional AI assistance.

  • Literature screening & full-text review
  • Collaborative data extraction
  • Integrated meta-analysis and forest plots
  • Optional AI assistance for screening, full-text assessment and extraction

For universities, hospitals & companies: institutional deployment enquiries →

EvidenceBee bee mascot wearing academic dress

A workflow for systematic reviews and meta-analyses

Manage reference import, screening, data extraction, synthesis and reporting within a shared project. Select a stage to view its interface.

Importing references into an EvidenceBee project from a PubMed query
Step 1 Import references. Search PubMed within the application or upload a RIS, EndNote, NBIB, CSV or XLSX file. Suspected duplicates are flagged for review.
AI assistant

Optional AI assistance for the review workflow

The AI assistant can assess titles and abstracts, analyse available full-text content and populate extraction forms for human review.

Phase-specific settingsAvailable for title and abstract screening, full-text assessment and data extraction, with separate settings for each phase.
Configurable participationAI decisions can contribute to reviewer thresholds and disagreement handling according to the phase settings.
Source checksFull-text tasks require readable content. Extracted numbers undergo source checks and human verification.
Configurable executionManual launch by default, phase-specific settings and usage estimates.
Use your own API keyConnect a supported provider account, such as Anthropic, OpenAI or Google. Model usage is billed directly by the selected provider.

For institutions & teams

Contact us to discuss requirements for institutional or dedicated deployments.

Describe your hosting and collaboration requirements.

Contact us