Project Background
Despite the availability of innovative approaches, the application of artificial intelligence (AI) in maternal and child health is limited. This project addresses the need for solid disaggregated data to reduce maternal and fetal-infant morbidity and mortality.
Leading causes and risk factors for these deaths are complex, requiring a comprehensive approach. This study aims to pilot AI-based models to investigate long-term impacts on health outcomes, developmental trajectories, and disease risks.