Author(s)

Jing Jin, and Yongqing Zhang

Corresponding Author

Jing Jin

ABSTRACT

In recent years, as artificial intelligence develops rapidly, its application in the medical field increase a lot. While in its application, there exists many arguments about the social risks and regulations of artificial intelligence in medicine. Under the influence of China’s macro policies, industrial development and other factors, the research focus is constantly changing. In this paper, the analysis function and knowledge graph visualization technology of CNKI are used to analyze the document quantity characteristics, journal and discipline distribution, network characteristics of research institutions of the research on social risks and regulations of AI medical and AI medical. The hot spots and hot spots evolution are analyzed to draw the knowledge graph. Based on 901 documents collected by CNKI, it is found that the research focus in different ages is closely related to China’s macro policies, industrial development and application scenarios of artificial intelligence. Since 2015, AI medical policy focuses on the application of wearable devices in health management, medical robots, intelligent image recognition, intelligent diagnosis and treatment, intelligent rehabilitation, etc. Therefore, the research on social risk and regulation mainly includes three aspects: artificial intelligence medical ethics, personal information security and medical damage liability. In the future, with the expansion of application scenarios, researches will focus on “formulating market access rules of artificial intelligence medical products, defining the nature of medical activity, interpreting the decision-making process in black box of algorithm”

KEYWORDS

Artificial intelligence in medicine, CNKI, Risk, Legal regulation