We generate robust evidence fast
SILVI.AI POWERED BY ARTIFICIAL INTELLIGENCE
Meta-analyses are the golden standard of evidence-based medicine. Silvi is an automatized meta-analysis system: With machine learning, Silvi enables faster and fully updated meta-analysis. Our system supports better decision making and prioritization of resources. Silvi optimizes all four phases of a meta-analysis (data import, screening, extraction, and analysis).
A systematic literature review is a great tool to get an unbiased overview of the current literature on a topic. Silvi is directly connected to search engines, making sure that the systematic literature reviews are always updated. Silvi follows scientific guidelines and provide you with easy-to-use information tables tailored to your needs.
The knowledge library combines systematic literature reviews and meta-analyses to give the most in-depth overview of a given scientific topic. The direct connection to search engines and the integration with statistical analysis software ensures a complete overview and analysis of all relevant parameters of the chosen studies; the knowledge library turns data into information.
The Story of Silvi.ai
Silvi was founded in 2018 by Professor in Health Economic Evidence, Tove Holm-Larsen. The idea for Silvi stemmed from Holm-Larsen’s own research, and the need to conduct meta-analyses faster.
Originally, the ideas behind Silvi were a component of a larger project. In 2016, Professor Holm-Larsen founded the group “Evidensbaseret Medicin 2.0” in collaboration with researchers from Ghent University, Technical University of Denmark, University of Copenhagen, and other experts.