E. Ernest

What it takes to implement AI in Africa: health-system lessons from developing an ML-enabled maternal risk stratification algorithm in Tanzania

Background Machine learning (ML) has growing potential to support early identification of high-risk pregnancies in resource-constrained settings. However, most studies focus on model development and predictive performance, with less attention to the health-system processes required to generate ML-ready data and transla...