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We generate robust evidence fast


What is Silvi.ai?
 
 

Silvi is an end-to-end screening and data extraction tool supporting Systematic Literature Review and Meta-analysis.

 

Silvi helps create systematic literature reviews and meta-analyses that follow Cochrane guidelines in a highly reduced time frame, giving a fast and easy overview. It supports the user through the full process, from literature search to data analyses. Silvi is directly connected with databases such as PubMed and ClinicalTrials.gov and is always updated with the latest published research. It also supports RIS files, making it possible to upload a search string from your favorite search engine (i.e., Ovid). Silvi has a tagging system that can be tailored to any project.

 

Silvi is transparent, meaning it documents and stores the choices (and the reasons behind them) the user makes. Whether publishing the results from the project in a journal, sending them to an authority, or collaborating on the project with several colleagues, transparency is optimal to create robust evidence.

 

Silvi is developed with the user experience in mind. The design is intuitive and easily available to new users. There is no need to become a super-user. However, if any questions should arise anyway, we have a series of super short, instructional videos to get back on track.

 

To see Silvi in use, watch our short introduction video.

 
Watch our short introduction video
 


Learn more about Silvi’s specifications or see our PDF presentation.

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.