Abstract
Breast cancer remains a major cause of cancer-related morbidity and mortality among women in Nigeria, where late presentation, limited screening infrastructure, and sociocultural barriers contribute to poor health outcomes. This study evaluates the effectiveness of Coursiv AI, a localized and adaptive artificial intelligence platform, in improving breast cancer awareness and prevention, with particular attention to older women. A mixed-methods design was employed across four regions of Nigeria, involving 2,000 women who participated in surveys and focus group discussions. The findings indicate that Coursiv AI significantly improved breast cancer awareness, screening uptake, and participation among older women compared with traditional outreach approaches. Its predictive analytics, caregiver-support modules, and multilingual interfaces in Hausa, Yoruba, Igbo, and Pidgin English were particularly useful in addressing literacy barriers and mobility constraints. Nevertheless, regional disparities persisted, with higher adoption in western and southern regions and lower uptake in northern areas, where stigma and limited trust in technology remained important barriers. Comparative analysis further demonstrated the platform’s strengths in cultural adaptation and accessibility relative to global artificial intelligence tools requiring more advanced infrastructure, while ethical compliance was reported to be high despite regional variation in user trust. The study also situates these digital-health developments alongside the emergence of kwagheticin, a novel anticancer drug developed in Nigeria, highlighting the potential complementarity between locally adapted artificial intelligence interventions and indigenous therapeutic innovation. The study concludes that culturally responsive artificial intelligence platforms can strengthen breast cancer awareness, screening participation, and accessibility, particularly among older women. It contributes to digital health and cancer prevention research by demonstrating the potential value of integrating localized artificial intelligence, caregiver support, multilingual communication, and indigenous therapeutic innovation within strategies aimed at reducing late-stage diagnosis and improving breast cancer outcomes in Nigeria.