ISSUE: In this Spotlight session, an international panel of experts will focus on global developments in artificial intelligence (AI) and machine learning (ML) in health care. The session will clarify the distinctions between AI and ML and the different forms of each. Trends in AI and ML will be discussed from the perspectives of the North America and European regions.

OVERVIEW: The panelists will discuss developments in the healthcare data infrastructure within each region and the challenges and opportunities posed by these developments. For example, complex data structures and large volumes of unstructured data create challenges for traditional statistical methods but opportunities for machine learning methods. On the other hand, ML methods have traditionally been used to characterize the underlying structure of data, as well as for prediction and classification. Can they also be used for causal inference? How are AI and ML methods currently being used in health care delivery, drug discovery, health technology assessment, regulatory approval and safety surveillance? How might this change over the next decade?