chaokunhong/metascreener

MetaScreener is an open‑source, AI‑driven platform that automates the most time‑consuming steps of systematic reviews—screening titles/abstracts, extracting data from PDFs, and assessing risk‑of‑bias—by running a consensus of four open‑source LLMs. It’s aimed at researchers, academics, and evidence‑synthesis teams who need faster, reproducible screening and data extraction while still retaining human oversight for uncertain cases.