This work demonstrates the effectiveness of large language models to screen literature in systematic reviews, suggesting broad applications for future research.
Key Points
Large language models effectively streamline the screening process in systematic reviews, enhancing efficiency.
The analysis indicates that collaborative large language models can improve accuracy and reduce screening time significantly.
Systematic review methodology allows for the integration of advanced natural language processing techniques and tools.
The findings highlight the potential for large language models to transform traditional screening approaches in evidence synthesis.