Application of artificial intelligence to the public health education

作者：Xueyan Wang, Xiujing He, Jiawei Wei, Jianping Liu, Yuanxi Li, Xiaowei Liu · 发表于：Frontiers in Public Health · 年份：2023 · DOI：10.3389/fpubh.2022.1087174 · 被引用次数：45 · 研究领域：Artificial Intelligence in Healthcare and Education、COVID-19 diagnosis using AI、Artificial Intelligence in Healthcare

With the global outbreak of coronavirus disease 2019 (COVID-19), public health has received unprecedented attention. The cultivation of emergency and compound professionals is the general trend through public health education. However, current public health education is limited to traditional teaching models that struggle to balance theory and practice. Fortunately, the development of artificial intelligence (AI) has entered the stage of intelligent cognition. The introduction of AI in education has opened a new era of computer-assisted education, which brought new possibilities for teaching and learning in public health education. AI-based on big data not only provides abundant resources for public health research and management but also brings convenience for students to obtain public health data and information, which is conducive to the construction of introductory professional courses for students. In this review, we elaborated on the current status and limitations of public health education, summarized the application of AI in public health practice, and further proposed a framework for how to integrate AI into public health education curriculum. With the rapid technological advancements, we believe that AI will revolutionize the education paradigm of public health and help respond to public health emergencies.