The Latest Progress of Research on the Social Risks and Regulation of International Artificial Intelligent in Medical Treatment Based on CiteSpace Method

Abstract

CiteSpace refers to a kind of citation visual analysis software developed on the basis of scientometrics and data virtualization. To explore the hot spot of social risk and regulation of international artificial intelligent (AI) in medical treatment, this paper retrieves the paper in 2000–2019 by taking the paper core set of Web of Science as the retrieval database and inputting keywords and then reflects the structure, rules and distribution of science and technology knowledge of the retrieved information, through visual means via CiteSpace. By analyzing data from such aspects as the number of publications and citations, ranking of publishing journals, clustering analysis of co-cited literatures and co-occurrence analysis of keywords, this paper brings the following discoveries: there are few research results related to “AI + social risk and regulation+medical”, EU's leading status in the study of AI ethnics and law, and the scholars' focus in recent years: 1. Some new issues of DNA sequencing technology in terms of laws and ethnics; 2. Personal information privacy at the medical data collection end and AI application end and medical privacy safety; 3. Decision-making of medical robot; 4. The standard application of AI in medical field; 5. Standardization of AI medical device; 6. Nanometer safety. Among all the issues above, the ethnic reorganization of doctor-patient relationship of AI-aided medical treatment triggers extensive concerns.