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PaperTrace is AI literature review software designed for researchers conducting systematic literature reviews and evidence synthesis. It helps users move from a plain-language research question to search terms, abstract screening, data extraction, synthesis, and exportable review outputs.
The app searches PubMed and other literature sources, screens abstracts with transparent AI rationales, and supports human verification throughout the review process. It can fetch open-access full text, organize study data into structured evidence tables, draft narrative syntheses with inline citations, and help identify research gaps. PaperTrace is structured around PRISMA 2020 conventions and includes features such as search strategy documentation and flow diagrams.
For collaborative research workflows, PaperTrace supports multi-reviewer projects, blinded screening, and inter-rater agreement calculations. It is positioned as researcher-in-the-loop software, allowing users to review AI-generated screening decisions and extracted fields before publication. Research data is stored privately and is not used to train AI models.
Website: papertrace.co
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