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Elicit Solutions - Systematic Review

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Credibility Rating

3/5
Good(3)

Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.

Rating inherited from publication venue: Elicit

Elicit is a practical research tool useful for AI safety researchers conducting literature reviews or evidence synthesis, but is not directly focused on AI safety topics itself; its relevance is methodological rather than substantive.

Metadata

Importance: 25/100tool pagetool

Summary

Elicit is an AI research tool designed to accelerate systematic literature reviews by automating key steps including title/abstract screening, data extraction, and evidence synthesis. It claims 80% time savings on screening, 96.4% screening recall, and 94% data extraction accuracy across a corpus of 138 million papers.

Key Points

  • Automates title/abstract screening using AI, with per-criterion scoring and rationale with supporting quotes from papers
  • Claims highest data extraction accuracy among AI products, supporting both quantitative and qualitative data including tables
  • Covers 138 million papers with semantic search across multiple databases to reduce search overlap
  • Generates structured reports with PRISMA diagrams, paper summaries, and sentence-level citations, though writing is not fully automated
  • Allows iterative refinement of screening criteria on pilot sets before full deployment, improving protocol design

Cited by 1 page

PageTypeQuality
Elicit (AI Research Tool)Organization63.0

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[Skip to main content](https://elicit.com/solutions/systematic-review#)

**AI for evidence synthesis**

# Systematic Literature Reviews

## Use AI to synthesize more evidence faster

[Try now](https://elicit.com/users/auth?show=signup)

![Elicit interface showing the automated screening process for a systematic review on testosterone interventions](https://framerusercontent.com/images/LKjsoeYfxZAV7jgzFafYvDUu4U.png?width=2880&height=2880)

See those asterisks? They’re magical quotation tools. [Try them for yourself →](https://elicit.com/users/auth?show=signup)

![](https://framerusercontent.com/images/LgV3BAzmCZG8AGmWUGCxRJixM5g.png?width=6000&height=7255)

![](https://framerusercontent.com/images/ZjoiL77QOCK9t2cXXTvdE5JcwsM.jpeg?width=6000&height=7255)

## Elicit's systematic reviews at a glance

80%

Time savings, especially for screening & data extraction

96.4%

Up to 96.4% screening recall

94%

Data extraction accuracy; up to 99.4% in some cases

138m

Papers to include in your review

[Latest update\\
\\
How we evaluated Elicit Reports\\
\\
Read more](https://elicit.com/blog/elicit-reports-eval)

**how it works**

## Elicit helps accelerate every step of a systematic review

Step 1

### Refining the research question

Asking the right question is half the battle. Use Elicit to refine and specify your research question.

![Elicit interface showing a research question about theanine and cognitive function with AI-suggested refinement tags.](https://framerusercontent.com/images/aJOcAqZ7597fxqgWwSJAb9czl8.png?width=1480&height=546)

Step 2

### Gathering sources

Elicit enables you to combine multiple searches across many databases:

Use AI-based semantic search to find papers that don't overlap

![Elicit search results showing top papers with relevance and citation counts.](https://framerusercontent.com/images/nnzEDcGFFGYLVyBDRp4Y2kLMwU.png?width=990&height=620)

Step 3

### Title & abstract screening

Elicit autosuggests screening criteria based on your research question. You can also add custom screening criteria from your protocol.

We then use AI to screen titles and abstracts, saving researchers over 80% of the time it takes to screen papers manually.

Using AI lets us be more rigorous than manual screening in some ways:

- You can see how a paper scored on each individual screening criteria, not just whether it was screened in or out overall.

- Every screening decision comes with detailed rationale and supporting quotes from the paper.

- You can refine and test criteria on a pilot set before running on all papers. This is great for scoping reviews and improving protocol design.


![Elicit interface for title and abstract screening showing an AI-generated inclusion recommendation with detailed rationale](https://framerusercontent.com/images/dOVrsqwkns3q7Mj4jDskPTQw9A.png?width=884&height=480)

Step 4

### Data extraction

Data extraction is one of Elicit's superpowers. Elicit has the most accurate data extraction of any AI product.

We

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