Traditional versus generative AI: A rapid systematic review assessing accuracy and efficiency of AI in title/abstract screening
The Petauri Evidence team will be presenting this research at ISPOR Europe in Glasgow, in Poster Session 5 on Wednesday 12th November.
In this short video, Emily Hardy (Consultant – Systematic Review, Petauri Evidence) introduces the research, along with their poster ‘Performance of large language model clinical data extraction by data domain: A rapid systematic review’
Poster introduction:
Research objectives:
- Assess the accuracy and efficiency of artificial intelligence (AI) tools for title/abstract (t/a) screening for a systematic literature review (SLR) informing health economics and outcomes research (HEOR)
- Identify any factors influencing AI tool performance
Please complete the form below to download the full poster:
Please see the PRISMA and list of included studies for this poster here: https://petauri.com/AI-SLR-doc/
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