Main Purpose
Silvi.ai is an end-to-end screening and data extraction tool that supports Systematic Literature Review and Meta-analysis.
Key Features
- Systematic Literature Reviews: Silvi.ai helps create systematic literature reviews and meta-analyses following Cochrane guidelines.
- Database Integration: The tool is directly connected with databases such as PubMed and ClinicalTrials.gov, ensuring access to the latest published research.
- RIS File Support: Silvi.ai supports RIS files, allowing users to upload search strings from their preferred search engines.
- Tagging System: Silvi.ai has a customizable tagging system that can be tailored to any project.
- Transparency: The tool documents and stores the choices made by the user, promoting transparency and robust evidence creation.
Use Case
- Researchers: Silvi.ai is designed to support researchers in conducting systematic literature reviews and meta-analyses in a reduced time frame, providing a fast and easy overview of the available research.
- Journal Publishers: The transparency and robust evidence created with Silvi.ai can be used to publish results in journals, ensuring the credibility of the research.
- Collaborative Projects: Silvi.ai facilitates collaboration on projects by storing and documenting the choices made by users, allowing multiple colleagues to work together effectively.
