Article

Assessing the feasibility and acceptability of a bespoke large language model pipeline to extract data from different study designs for public health evidence reviews

2025-07-21

Abstract excerpt

<h4>Introduction</h4> Data extraction is a critical but resource-intensive step of the evidence review process. Whilst there is evidence that artificial intelligence (AI) and large language models (LLMs) can improve the efficiency of data extraction from randomised controlled trials, their potential for other study designs is unclear. In this context, this study aimed to evaluate the performance of a bespoke LLM...

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Literature Corpus work: 0dd85db2-2776-55b5-8ad9-63d0456b5365
DOI: 10.1101/2025.07.21.25331917

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