Wang Chen, Zhu Yingying, Zhang Xuejiao, Chen Xueqing, Li Yilin, Tan Yongjie, Qi Huiying
Department of Health Informatics and Management, School of Health Humanities, Peking University, Beijing, 100191, China.
School of Nursing, Peking University, Beijing, 100191, China.
J Health Popul Nutr. 2025 Jun 14;44(1):195. doi: 10.1186/s41043-025-00947-7.
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.
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.
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.
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.
作为当前人工智能技术的关键部分,人工智能生成内容(AIGC)对医疗保健的影响程度、其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,已成为学术界和医疗保健领域广泛讨论的话题。我们的目的是进行文献计量研究,以分析和可视化与AIGC在医疗保健中的应用相关的当前研究热点和趋势。
通过Web of Science核心合集检索2022年11月30日至2023年12月31日发表的与AIGC在医疗保健中的应用相关的研究。利用CiteSpace和Microsoft Excel分析和可视化年度出版物、国家、机构、作者、期刊、高被引文献和关键词。
共纳入3411篇论文,近两年出版物数量迅速增加。就AIGC在医疗保健应用方面的研究出版物数量而言,美国和哈佛大学分别是领先的国家和机构。Thongprayoon Charat和Cheungpasitporn Wisit是该领域的杰出研究者。《自然》是AIGC在医疗保健应用领域最具影响力的期刊,而《Cureus医学科学杂志》在该主题上的出版物数量最多。关键词和高被引文献分析确定了当前的研究热点,包括AIGC在医疗行业应用的影响探索、适用性评估、医疗相关人员的认知以及AIGC在医疗领域的发展。
本文对AIGC在医疗保健中的应用的研究框架和热点进行了文献计量分析。该分析旨在为研究人员提供对该领域的全面理解。未来的研究应侧重于建立监管机制、优化医疗信息服务、明确AIGC的作用以及持续开发医学大语言模型。