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Silvi.ai

Software Development

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Silvi.ai
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    Therese Holm Using Machine Learning for Faster and Better Science | AI | Literature Review | Meta Analysis
    • Copenhagen, Capital Region, Denmark
    • Rising Star
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    Beth Jackson Frontend developer
    • Rising Star
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    Karol Jędrzejewski Backend & AI Machine learning Developer Silvi.ai | Human-Centered AI Master's student at Technical University of Denmark.
    • Copenhagen, Capital Region, Denmark
    • Rising Star
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    Paulina Toborek Student Backend Developer at Silvi.ai
    • Copenhagen Metropolitan Area
    • Rising Star
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    Tove Holm-Larsen Entrepreneur & Professor. Main interests: Big Data and AI in Drug Development | Innovative Pricing | High Quality RWE
    • Copenhagen, Capital Region, Denmark
    • Rising Star
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Overview

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.