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Article

Sensitivity, specificity and avoidable workload of using a large language models for title and abstract screening in systematic reviews and meta-analyses

2023-12-17

Abstract excerpt

<h4>Importance</h4> Systematic reviews are time-consuming and are still performed predominately manually by researchers despite the exponential growth of scientific literature. <h4>Objective</h4> To investigate the sensitivity, specificity and estimate the avoidable workload when using an AI-based large language model (LLM) (Generative Pre-trained Transformer [GPT] version 3.5-Turbo from OpenAI) to perform title...

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Literature Corpus work
17a0c915-cf63-5dc3-9229-0ae475eb922f
DOI
10.1101/2023.12.15.23300018
Open publication

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Sensitivity, specificity and avoidable workload of using a large language models for title and abstract screening in systematic reviews and meta-analysesDOI 10.1101/2023.12.15.23300018
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