Artificial Intelligence Powered Solutions to Address Maternal Care Deserts in Communities

Maternal care deserts, regions lacking adequate access to maternity services, pose a critical threat to maternal and infant health, particularly in rural and underserved communities. This session explores the application of AI to identify, analyze and help mitigate these disparities. By leveraging machine learning and geospatial analysis, we identified high-risk areas with limited access to obstetric care and assessed them with poor maternal health outcomes. Our findings highlight the predictive power of AI in mapping care gaps and anticipating adverse events, enabling more targeted policy interventions and resource allocation. We also examined AI-driven solutions such as telehealth triage systems, mobile health platforms and predictive models for early risk detection. Although it appears that AI offers transformative potential to bridge maternal care gaps, we cautiously address ethical deployment, community collaboration, and policy alignment as anticipated challenges to ensure equitable and effective outcomes.