Artificial Intelligence: A Lever To Achieve Universal Health Coverage In Sub-Saharan Africa

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Challenges To Implementing UHCA major challenge in Africa is the fragility of health systems, characterized by insufficient healthcare personnel and underdeveloped infrastructures.According to World Health Organization (WHO) data, the density of physicians (generalists and specialists) in sub-Saharan Africa remains very low, at approximately 4 physicians per 10,000 population, compared with much higher densities in other regions.The WHO does not recommend a minimum threshold for physicians alone but instead emphasizes the importance of an adequate combined health workforce, including physicians, AbstractArtificial intelligence (AI) has strong potential to advance universal health coverage (UHC) in Sub-Saharan Africa by improving access, quality, and financial protection.The region faces structural challenges, including limited funding, low healthcare workforce density, fragile infrastructures, and geographic barriers, which constrain service delivery, especially in rural and underserved areas.AI applications, such as telemedicine, medical imaging, personalized medicine, pharmaceutical supply chain optimization, and therapeutic monitoring, can help overcome these gaps by enhancing diagnostic accuracy, care coordination, treatment adherence, and resource management.Locally adapted solutions demonstrate how technology can extend services to remote populations and strengthen health system efficiency.Successful adoption requires addressing digital connectivity, infrastructure, workforce training, and equitable access.Ethical, legal, and governance frameworks are essential to safeguard patient privacy, ensure fairness, and define accountability.With strategic planning, inclusive policies, and international cooperation, AI can serve as a transformative lever for strengthening health systems and advancing UHC in Sub-Saharan Africa.

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