Systematic reviews in Elicit | Screening & extraction
Summary
TLDRThe video script presents a comprehensive guide on utilizing the Elicit AI tool for streamlining the screening and data extraction phases of systematic reviews, rapid reviews, scoping reviews, and meta-analyses. It showcases Elicit's capabilities, such as AI-powered data extraction from PDFs and tables, custom column creation, filtering, and high-accuracy modes. The script highlights Elicit's potential to save time, increase accuracy, and facilitate a more systematic approach to literature reviews. It also emphasizes the importance of reviewing Elicit's work and offers insights from internal testing, demonstrating improved accuracy compared to manual extraction by trained research staff.
Takeaways
- ๐ Elicit is a tool that uses AI and language models to assist with data extraction and screening for systematic reviews, rapid reviews, scoping reviews, meta-analyses, and literature reviews.
- ๐ Elicit can extract data from PDFs and tables, a unique feature compared to other AI tools.
- ๐ผ While Elicit automates some tasks, users should still carefully review its work and integrate it thoughtfully into their workflows.
- ๐ญ Elicit has been shown to achieve higher accuracy than trained research assistants in identifying relevant papers and extracting data.
- ๐ The tool allows users to filter and sort extracted data based on custom criteria and formatting.
- ๐พ Users can download extracted data as a CSV file for further review and annotation.
- ๐ค Elicit offers a high accuracy mode for improved precision in data extraction, at a higher computational cost.
- ๐ต The tool keeps track of the user's work and progress, allowing them to pick up from where they left off.
- ๐ซ Elicit recommends uploading fewer than 100 papers at a time to avoid performance issues.
- ๐ฌ The team behind Elicit offers best practices, tips, and unreleased features for systematic review projects.
Q & A
What is Elicit, and who co-founded it?
-Elicit is a tool that uses AI, specifically generative AI and language models, for screening and data extraction in systematic reviews and similar projects. It was co-founded by Jung Juan.
How does Elicit aim to assist researchers?
-Elicit aims to save researchers time by automating the data extraction process from PDFs, freeing them to focus on synthesizing information and critical thinking, rather than manual copying and pasting.
What types of reviews and analyses can Elicit be used for?
-Elicit can be used for systematic reviews, rapid reviews, scoping reviews, meta-analyses, or any project requiring a systematic approach to literature review.
Can Elicit handle the extraction of data from tables in PDFs?
-Yes, Elicit has a unique feature that allows for the extraction of data from tables in PDFs, which is important for research.
What is the recommended limit for the number of papers to process at once in Elicit?
-It is recommended to stay under about 100 papers at a time for data extraction to avoid slowing down the app.
How can users upload papers to Elicit?
-Users can upload papers by dragging and dropping PDFs, selecting multiple PDFs from their file picker, or uploading papers from Zotero.
What does Elicit do when it's not confident in its data extraction accuracy?
-When Elicit is not confident about its data extraction accuracy, it flags the data so users can double-check its work.
How does Elicit ensure the privacy of the papers uploaded into its system?
-Papers uploaded into Elicit remain entirely private to the user; they are not shared with anyone else or uploaded for public access.
What advantage does Elicit claim over manual data extraction by trained research staff?
-Elicit claims to have better accuracy in identifying relevant papers and extracting data compared to manual extraction by trained research staff, with internal testing showing higher retrieval rates and accuracy.
What should users do if they are about to embark on a serious review project using Elicit?
-Users planning to undertake a serious review project using Elicit are encouraged to contact the Elicit team for best practices, tips, and information on batch jobs outside of the app for time-saving.
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