Alaran Muslim A, Lawal Salim Kamaludeen, Jiya Mustapha Husseini, Egya Salihu Alhassan, Ahmed Mohamed Mustaf, Abdulsalam Abdullateef, Haruna Usman Abubakar, Musa Muhammad Kabir, Lucero-Prisno Don Eliseo
Department of Robotics, Nazarbayev University School of Engineering and Digital Sciences (NU SEDS), Astana, Kazakhstan.
Department of Computer Engineering, Ahmadu Bello University, Zaria, Nigeria.
Digit Health. 2025 Jan 21;11:20552076241305915. doi: 10.1177/20552076241305915. eCollection 2025 Jan-Dec.
The application of artificial intelligence (AI) to healthcare in Africa has the potential to transform productivity, diagnosis, disease surveillance, and resource allocation by improving accuracy and efficiency. However, to fully realize its benefits, it is necessary to consider issues concerning data privacy, equity, infrastructure integration, and ethical policy development. The use of these tools may improve the detection of diseases, the distribution of resources, and the continuity of care. The use of AI allows for the development of policies that are tailored to address health disparities based on evidence. While AI may increase accessibility and affordability through telehealth, remote monitoring, and cost reductions, significant barriers remain. Ethical guidelines are needed to ensure AI decisions align with medical standards and patient autonomy. Strict privacy and security controls are crucial to protecting sensitive health data. This article evaluates the current and potential roles of AI in the African health sector. It identifies opportunities to address challenges through tailored interventions and an AI framework to simulate policy impacts.
人工智能（AI）在非洲医疗保健领域的应用有潜力通过提高准确性和效率来改变生产力、诊断、疾病监测及资源分配。然而，要充分实现其益处，有必要考虑数据隐私、公平性、基础设施整合及伦理政策制定等问题。使用这些工具可能会改善疾病检测、资源分配及护理的连续性。利用人工智能能够制定基于证据、旨在解决健康差距的政策。虽然人工智能可通过远程医疗、远程监测及成本降低提高可及性和可承受性，但重大障碍依然存在。需要道德准则来确保人工智能决策符合医疗标准和患者自主权。严格的隐私和安全控制对于保护敏感健康数据至关重要。本文评估了人工智能在非洲卫生部门当前及潜在的作用。它确定了通过量身定制的干预措施和模拟政策影响的人工智能框架应对挑战的机会。
