The Statistical Methods for Health Equity Series is a monthly online series co-hosted by the Data Science for Health Equity community and The Alan Turing Institute Health Equity Interest Group.

You are welcome to join the next session in their Statistical Methods for Health Equity webinar series, where Sharon Davis (Vanderbilt University Medical Center) will present on "Supporting Responsible Deployment of AI in Healthcare with Sustainable and Generalizable Learning Prediction Systems".
This session will explore how learning prediction systems can support the sustainable and equitable deployment of clinical AI tools. It will examine approaches to localising and maintaining predictive models after deployment, and discuss the practical challenges of ensuring AI tools perform reliably across diverse populations, settings, and evolving clinical environments.

Find out more and register here.