Predictive AI for Malaria Impact on Pregnant Women Considering Diet Quality: A Scoping Review

Malaria remains a significant threat to maternal health in endemic regions, contributing to complications such as preterm birth, anemia, and maternal mortality. Pregnant women are particularly vulnerable to severe malaria, which adversely affects pregnancy outcomes. Simultaneously, dietary factors, such as diet quality and diversity, are crucial for maternal health, especially in resource-limited settings. While artificial intelligence (AI) and machine learning (ML) hold transformative potential for maternal healthcare, little research has explored their integration with malaria, pregnancy, and diet quality. This scoping review reveal this research gap.