Article

How good are large language models for automated data extraction from randomized trials?

2024-02-21

Abstract excerpt

In evidence synthesis, data extraction is a crucial procedure, but it is time intensive and prone to human error. The rise of large language models (LLMs) in the field of artificial intelligence (AI) offers a solution to these problems through automation. In this case study, we evaluated the performance of two prominent LLM-based AI tools for use in automated data extraction. Randomized trials from two systematic...

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Literature Corpus work: b40d597c-f6ac-547b-aed6-5ed1e694b54c
DOI: 10.1101/2024.02.20.24303083

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