人工智能在非洲公共卫生监测中的应用与机遇
Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities
AI总结：
本文探讨了人工智能在非洲公共卫生监测中的应用、成功案例及实施障碍，证明其能提升疾病检测与预测的准确性和及时性，并提出推广建议。
摘要：
人工智能（AI）正在革新包括公共卫生监测在内的多个领域。在非洲，卫生系统经常面临资源有限、基础设施不足、卫生信息系统失灵以及熟练卫生专业人员短缺等挑战，AI 提供了变革性的机遇。本文调查了 AI 在整个非洲大陆公共卫生监测中的应用，展示了成功案例，并考察了在非洲医疗环境中实施 AI 技术的益处、机遇和挑战。我们的论文强调了 AI 在加强疾病监测和改善健康结果以及支持有效公共卫生干预方面的潜力。论文中呈现的研究结果表明，AI 可以显著提高疾病检测和预测的准确性与及时性，优化资源分配，并促进有针对性的公共卫生策略。此外，我们的论文还识别了 AI 在非洲公共卫生系统中广泛采用的关键障碍，并提出了克服这些挑战的可操作建议。
英文摘要：
Artificial Intelligence (AI) is revolutionizing various fields, including public health surveillance. In Africa, where health systems frequently encounter challenges such as limited resources, inadequate infrastructure, failed health information systems and a shortage of skilled health professionals, AI offers a transformative opportunity. This paper investigates the applications of AI in public health surveillance across the continent, presenting successful case studies and examining the benefits, opportunities, and challenges of implementing AI technologies in African healthcare settings. Our paper highlights AI's potential to enhance disease monitoring and health outcomes, and support effective public health interventions. The findings presented in the paper demonstrate that AI can significantly improve the accuracy and timeliness of disease detection and prediction, optimize resource allocation, and facilitate targeted public health strategies. Additionally, our paper identified key barriers to the widespread adoption of AI in African public health systems and proposed actionable recommendations to overcome these challenges.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
