P22 Disrupting Health Economics: Automating Network Meta-Analyses With AI and Large Language Models
The advancement of Large Language Models (LLMs), such as GPT-4, provides opportunities for automating data extraction and analysis in systematic reviews and meta-analyses. However, their practical application in Health Economics and Outcomes Research (HEOR) remains unverified. Our study aimed to evaluate GPT-4's accuracy in replicating a Network Meta-Analysis (NMA) result on overall survival of adult patients with advanced non-small cell lung cancer (NSCLC) post platinum-based treatment and pre-immunotherapy.
Source: Value in Health - Category: International Medicine & Public Health Authors: T. Reason, B. Malcolm, S. Klijn, J. Langham, A. Gimblett, E. Benbow Source Type: research
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