Understanding expectations for evidence synthesis when using AI compared to current best practice
The rapidly growing evidence base and the increasing complexity of methods make completing timely, high-quality evidence synthesis more and more challenging. To ensure we can keep up with the demand and expectations of funders and users of evidence synthesis, we need to make better use of automation and AI in evidence synthesis. To do this, the […]
