Visualization Analysis of Artificial Intelligence in Global Health Policies Research on VOSviewer

Zhang Hanrong; Zhang Xuefeng

doi:10.3969/j.issn.1001-568X.2025.02.0002

Abstract：OBJECTIVE To investigate the policy evolution of AI applications in the health sector and provide a theoretical foun-dation for advancing the development of a digital and intelligent China.METHODS Utilizing VOSviewer software,it selected articles related to AI health policies from 1991 to the present in the Web of Science and CNKI databases.A total of 1 385 valid articles were included for retrospective statistical and visual analysis.RESULTS The research on AI applications in health policy can be cate-gorized into four developmental stages:the initial exploration period(1991-2017),the rapid growth period(2018-2021),the slow stagnation period(2021-2022),and the stable growth period(2022—now).The researchers were scattered and had not yet formed a cooperative network.High-frequency keywords such as machine learning consultation,novel coronavirus,deep learning,and ethical risk appeared in English literature,while high-frequency keywords such as medical intelligent decision-making,medi-cal insurance payment,and"Internet+"appeared in Chinese literature.The hot research topics focus on three aspects(application scope,policy response to public emergencies and policy supervision),and the research potential in this field was huge.CONCLU-SION The application of AI in health policy research is a hot topic in recent years.In the future,in the design and implementation of health policy,it should uphold the attitude of inheriting the multi-subject cooperative development,pay attention to the techni-cal risks faced by the medical system,and improve the supervision system of AI applied medicine.