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 epidemiology Title + abstract only

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ImportanceSystematic reviews are time-consuming and are still performed predominately manually by researchers despite the exponential growth of scientific literature. ObjectiveTo 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 and abstract screening in systematic reviews. Data SourcesUnannotated bibliographic databases from fiv...

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

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