Collaborative large language models for automated data extraction in living systematic reviews

Published: 01 Jan 2025, Last Modified: 12 May 2025J. Am. Medical Informatics Assoc. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Data extraction from the published literature is the most laborious step in conducting living systematic reviews (LSRs). We aim to build a generalizable, automated data extraction workflow leveraging large language models (LLMs) that mimics the real-world 2-reviewer process.
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