In this Learning Live webinar, the presenters will discuss the most recent results of a living rapid review of AI tools for evidence synthesis tasks, with a focus on data analysis.
The session will consist of 30-minute presentation, followed by an interactive Q&A session. It is aimed at researchers, systematic reviewers, evidence synthesis professionals, health technology assessment practitioners, librarians, data analysts, students, and anyone interested in the opportunities and challenges of using AI tools in evidence synthesis and research.
Presenter
Gaelen P. Adam is a research scientist in Brown University’s Center for Evidence Synthesis in Health (CESH) in Providence, Rhode Island. Her research focuses on the evaluation and implementation of machine learning and artificial intelligence to improve evidence-synthesis methods.
