Liu Ziyang, Li Xinru, Zhao Chejie, Li Jie, Li Haoyang, Zhang Chao, Lu Jianjian, Teng Li
Department of Craniomaxillofacial Surgery, Plastic Surgery Hospital, CAMS&PUMC (Chinese Academy of Medical Sciences and Peking Union Medical College), Beijing, 100144, China.
Central University of Finance and Economics, Beijing, China.
Aesthetic Plast Surg. 2025 Mar;49(6):1673-1688. doi: 10.1007/s00266-024-04639-1. Epub 2025 Jan 8.
Bibliometric analyses of software applications in plastic surgery are relatively limited. This study aims to address this gap by summarizing current research trends and providing insights that may guide future developments in this field.
Data were retrieved from the Web of Science Core Collection. Visualized results, including publication characteristics, disciplines, journals, documents, countries/regions, institutions, authors, and research focuses, were analyzed and optimized using CiteSpace and the "Results Analysis" and "Citation Reports" functions in WoSCC.
A total of 339 publications were identified through manual screening, indicating a general upward trend in annual publications and citations. Key research areas in this field include computer-aided design, modeling, virtual reality, augmented reality, artificial intelligence, social media software, telemedicine, and mobile health. However, challenges such as the high costs of advanced tools, the need for specialized training, and concerns regarding data security and patient privacy are significant barriers. Addressing these issues could be crucial for broader adoption. Despite these obstacles, the potential benefits offered by these technologies suggest their increasing relevance in plastic surgery.
Plastic surgery appears to be evolving toward a more standardized, digitalized, and intelligent future. Software has the potential to transform traditional workflows in both research and practice, contributing to improvements in efficiency and precision in the field.
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
整形手术软件应用的文献计量分析相对有限。本研究旨在通过总结当前研究趋势并提供可能指导该领域未来发展的见解来填补这一空白。
数据从科学网核心合集检索。使用CiteSpace以及科学网核心合集中的“结果分析”和“被引频次报告”功能对可视化结果进行分析和优化，这些结果包括发表特征、学科、期刊、文献、国家/地区、机构、作者和研究重点。
通过人工筛选共识别出339篇出版物，表明年度出版物和被引频次总体呈上升趋势。该领域的关键研究领域包括计算机辅助设计、建模、虚拟现实、增强现实、人工智能、社交媒体软件、远程医疗和移动健康。然而，诸如先进工具成本高昂、需要专业培训以及对数据安全和患者隐私的担忧等挑战是重大障碍。解决这些问题对于更广泛的应用可能至关重要。尽管存在这些障碍，但这些技术所带来的潜在益处表明它们在整形手术中的相关性日益增加。
整形手术似乎正朝着更加标准化、数字化和智能化的未来发展。软件有潜力改变研究和实践中的传统工作流程，有助于提高该领域的效率和精准度。
证据等级IV：本刊要求作者为每篇文章指定证据等级。有关这些循证医学评级的完整描述，请参阅目录或在线作者指南www.springer.com/00266 。
