Improving maternity care for all

Dec 5, 2025 1 min read Machine Learning, Health

We are very pleased to have contributed an article to the Association for Improvements in the Maternity Services (AIMS) journal entitled “Women, Pregnancy and Artificial Intelligence: Opportunities and Cautions in the Age of Digital Maternity” as part of the MuM-Predict consortium. The article demonstrates our commitment to connecting AI research to those it affects.

Machine Learning Health
Christopher Yau
Christopher Yau
Professor of Artificial Intelligence

I am Professor of Artificial Intelligence. I am interested in statistical machine learning and its applications in the biomedical sciences.