A Qualitative Inquiry Exploring Perceptions of Artificial Intelligence to Improve Outcomes in Maternal, Sexual and Reproductive Health in Sub-Saharan Africa

Artificial intelligence has the potential to transform healthcare in low- and middle-income countries, where access to quality care remains limited. Maternal, sexual, and reproductive health (MSRH) outcomes are especially poor due to resource shortages, financial barriers, and geographic inequities. With thoughtful implementation, AI could help address these gaps through innovations in diagnostics, health education chatbots, and telemedicine. However, responsible use is essential to ensure AI reduces—rather than exacerbates—health disparities between high- and low-income regions. Our study examines the perceptions, uses, benefits, and challenges of AI in MSRH among medical professionals, community members, and AI experts, guided by the Diffusion of Innovations Theory. Our findings will inform the development of a continent-wide AI hub for MSRH, highlighting barriers and opportunities for improving health care access. We aim to support policymakers, researchers, and implementers in using AI to promote equitable maternal and sexual and reproductive healthcare delivery across Africa.