AI Methods

These methodological projects assess the use of artificial intelligence (AI) to support the conduct of rapid reviews focused on values and preferences, as well as the application of AI for sentiment analysis. The aim is to explore whether AI can enhance the efficiency, consistency, and scalability of evidence synthesis in these complex and often subjective domains. In the context of values and preferences, AI tools are being evaluated for their ability to identify relevant qualitative data and extract nuanced themes. For sentiment analysis, the projects examine the potential of large language models to interpret stakeholder opinions and emotional tone within healthcare texts. Together, these studies contribute to a broader understanding of how AI might responsibly augment decision-making processes in evidence-based healthcare.