MikkelVembye/AIscreenR
AI screening tools in R for systematic reviewing
This tool helps researchers, academics, and students conducting systematic literature reviews efficiently screen studies. It takes a list of research paper titles and abstracts (in RIS file format) along with your specific inclusion/exclusion criteria. Using AI, it helps identify relevant studies or significantly reduces the number of papers humans need to screen, outputting a clear inclusion/exclusion decision for each reference. This is ideal for anyone managing large volumes of academic literature.
Use this if you are performing a systematic review and need to quickly evaluate many research paper titles and abstracts against your defined criteria, especially to speed up initial screening or act as a second screener.
Not ideal if you require human-only screening for very sensitive reviews or if you prefer not to use AI models to assist with your systematic review process.
Stars
14
Forks
5
Language
R
License
GPL-3.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/MikkelVembye/AIscreenR"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
asreview/asreview
Active learning for systematic reviews
ChaokunHong/MetaScreener
AI-powered tool for efficient abstract and PDF screening in systematic reviews.
aritraroy24/ComProScanner
A python package for extracting composition-property data from scientific articles for building databases
EvoTestOps/AISysRev
Web-application for LLM based title-abstract screening in systematic reviews
IAAR-Shanghai/SurveyX
Academic Survey Paper Generation.