
ASReview
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| Fact | ASReview | SyRF |
|---|---|---|
| Intended users | The site presents ASReview for screeners, information specialists, data scientists, developers, institutions, and students. | SyRF is intended for researchers conducting systematic reviews and meta-analyses of preclinical studies. |
| Purpose | ASReview uses AI-aided active learning to prioritize records for systematic review screening while keeping a human screener in the decision loop. | SyRF supports evidence synthesis and systematic reviews of preclinical research, including storing extracted data and providing educational resources and guidance. |
| Screening | The site says ASReview can reduce the screening workload by up to 95%. | Reviewers can screen studies against project inclusion and exclusion criteria, with two independent screeners and a third reviewer for disagreements by default. |
ASReview is for screeners, information specialists, data scientists, developers, institutions, and students involved in systematic reviews. Its team screening and automation options may suit organizational workflows.
SyRF is intended for researchers conducting systematic reviews and meta-analyses of preclinical studies. Its collaborative workflow and data exports may suit teams that need to screen studies and analyze extracted results.