Article

Collaborative Large Language Models for Automated Data Extraction in Living Systematic Reviews

2024-09-23

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> 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 two-reviewer process. <h4>Materials and Methods</h4> A dataset of 10 clinical trials (22 publications) from a published L...

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Literature Corpus work: 48effca5-4cde-5acf-bb25-fffea03aaa3c
DOI: 10.1101/2024.09.20.24314108

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