The landscape of artificial intelligence tools and platforms for evidence synthesis: a scoping review

Evidence synthesis (ES) involves rigorous, reproducible methodologies, which are increasingly being presented as 'Living' systematic reviews. As such, ES are critical to evidence-informed decision-making processes, such as the development, implementation, evaluation and monitoring of health technology assessments, practice guidelines and policies. However, the ES process is time-intensive, typically requiring months or years and extensive manual effort. Technological advancements, particularly artificial intelligence (AI), offer opportunities to automate various ES steps, potentially increasing efficiency and reducing costs. AI tools and platforms, including large language models (LLMs), facilitate faster ES…