AI-driven evidence synthesis: data extraction of randomized controlled trials with large language models
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The advancement of large language models (LLMs) presents promising opportunities to enhance evidence synthesis efficiency, particularly in data extraction processes, yet existing prompts for data extraction remain limited, focusing primarily on commonly used i... ...
