{"title":"基于CiteSpace方法的国际医疗人工智能社会风险与监管研究最新进展","authors":"Jing Jin, Yongqing Zhang","doi":"10.1109/TOCS50858.2020.9339758","DOIUrl":null,"url":null,"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.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Latest Progress of Research on the Social Risks and Regulation of International Artificial Intelligent in Medical Treatment Based on CiteSpace Method\",\"authors\":\"Jing Jin, Yongqing Zhang\",\"doi\":\"10.1109/TOCS50858.2020.9339758\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":373862,\"journal\":{\"name\":\"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TOCS50858.2020.9339758\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS50858.2020.9339758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
CiteSpace是一款基于科学计量学和数据虚拟化技术开发的引文可视化分析软件。为探究国际人工智能在医疗领域的社会风险与监管热点,本文以Web of Science的论文核心集为检索数据库,输入关键词对2000-2019年的论文进行检索,通过CiteSpace以可视化的方式反映被检索信息的科技知识结构、规律和分布。通过对出版物和被引数量、出版期刊排名、共被引文献聚类分析、关键词共现分析等方面的数据分析,本文发现:“人工智能+社会风险和监管+医疗”相关的研究成果较少,欧盟在人工智能伦理和法律研究方面的领先地位,以及近年来学者关注的重点:1。DNA测序技术在法律和伦理方面的一些新问题2. 医疗数据采集端和人工智能应用端的个人信息隐私与医疗隐私安全;3.医疗机器人决策;4. 人工智能在医疗领域的规范应用5. 人工智能医疗器械标准化;6. 纳米安全。其中,人工智能辅助医疗中医患关系的族群重组引发了广泛关注。
The Latest Progress of Research on the Social Risks and Regulation of International Artificial Intelligent in Medical Treatment Based on CiteSpace Method
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.