Areas of research focus and trends in the research on the application of AIGC in healthcare.

IF 2.4 3区 医学 Q3 ENVIRONMENTAL SCIENCES
Chen Wang, Yingying Zhu, Xuejiao Zhang, Xueqing Chen, Yilin Li, Yongjie Tan, Huiying Qi
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引用次数: 0

Abstract

Background: As a crucial part of current AI technology, the extent of AIGC's (Artificial Intelligence Generated Content) impact on healthcare, its potential to further drive the development of intelligent healthcare, and its ability to alleviate the current scarcity of medical resources have become highly discussed topics in academia and the healthcare sector. Our aim is to conduct bibliometric study to analyze and visualize the current research hotspots and trends related to the application of AIGC in healthcare.

Methods: Studies related to the application of AIGC in healthcare that were published from November 30 2022, to December 31 2023, were retrieved via the Web of Science Core Collection. CiteSpace and Microsoft Excel were utilized to analyze and visualize the annual publications, countries, institutions, authors, journals, high cited literature and keywords.

Results: A total of 3411papers were included, and the number of publications is increasing rapidly in recent two years. The United States and Harvard University are respectively the leading country and institution in terms of the number of research publications on the application of AIGC in healthcare. Thongprayoon Charat and Cheungpasitporn Wisit are outstanding investigators in this field. Nature is the most influential journal in the field of AIGC' s application in healthcare, whereas Cureus Journal of Medical Science boasts the highest number of publications on this topic. The analysis of keywords and high cited literature has identified current research hotspots, including the impact exploration of the application of AIGC in the healthcare industry, the assessment of applicability, the perception of healthcare related personnel, and the development of AIGC in the healthcare field.

Conclusions: This paper presents a bibliometric analysis of the research framework and hotspots concerning the application of AIGC in healthcare. The analysis aims to provide a comprehensive understanding of this field for researchers. Future research should focus on establishing regulatory mechanism, optimizing healthcare information services, clarifying the role of AIGC, and continuously developing medical large language models.

AIGC在医疗保健中的应用研究的重点领域和趋势。
背景:作为当前AI技术的重要组成部分,AIGC (Artificial Intelligence Generated Content,人工智能生成内容)对医疗保健的影响程度、进一步推动智能医疗发展的潜力以及缓解当前医疗资源短缺的能力已经成为学术界和医疗保健界高度讨论的话题。我们的目的是通过文献计量学研究,分析和可视化当前与AIGC在医疗保健应用相关的研究热点和趋势。方法:通过Web of Science Core Collection检索2022年11月30日至2023年12月31日发表的与AIGC在医疗保健中应用相关的研究。利用CiteSpace和Microsoft Excel对年度出版物、国家、机构、作者、期刊、高被引文献和关键词进行分析和可视化。结果:共收录论文3411篇,近两年发文量快速增长。美国和哈佛大学分别是AIGC在医疗保健领域应用的研究出版物数量最多的国家和机构。Thongprayoon Charat和cheong pasitporn Wisit是这一领域的杰出研究者。在AIGC在医疗保健领域的应用方面,Nature是最具影响力的期刊,而Cureus journal of Medical Science在该领域的出版物数量最多。通过对关键词和高被引文献的分析,确定了当前的研究热点,包括AIGC在医疗保健行业应用的影响探索、适用性评估、医疗保健相关人员的感知、AIGC在医疗保健领域的发展等。结论:本文对AIGC在医疗卫生领域应用的研究框架和热点进行了文献计量分析。分析的目的是为研究人员提供对这一领域的全面了解。未来的研究应着眼于建立监管机制,优化医疗信息服务,明确AIGC的作用,并不断开发医学大语言模型。
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来源期刊
Journal of Health, Population, and Nutrition
Journal of Health, Population, and Nutrition 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.20
自引率
0.00%
发文量
49
审稿时长
6 months
期刊介绍: Journal of Health, Population and Nutrition brings together research on all aspects of issues related to population, nutrition and health. The journal publishes articles across a broad range of topics including global health, maternal and child health, nutrition, common illnesses and determinants of population health.
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