儿童骨龄研究热点与趋势:文献计量与可视化分析。

IF 2.4 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Huaping Tang, Zenan Ma, Lanping Gao
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引用次数: 0

摘要

目的:近几十年来,与儿童骨龄相关的研究获得了大量的学术关注,因为它对监测儿童生长和指导临床决策至关重要。本研究旨在通过文献计量学和可视化分析,识别骨龄评估领域的研究热点,预测未来发展趋势。方法:利用Web of Science Core Collection进行综合文献计量学分析,检索1965 - 2024年与儿童骨龄相关的出版物。使用VOSviewer(1.6.20版本)、CiteSpace(6.3版本)进行可视化分析。R1),以及R包“bibliometrix”。结果:共分析儿童骨龄相关文献4652篇,年增长率为8.09%。美国成为主要贡献者,占总出版物的27.7%,其次是中国和意大利。哈佛大学被认为是最多产的机构,发表了328篇论文,《临床内分泌与代谢杂志》是该领域最具影响力的杂志。最常出现的三个关键词包括“成长”、“年龄”和“治疗”。关键词爆发揭示了诸如“深度学习”和“人工智能”等新兴关键词。结论:该文献计量分析表明,该领域的未来研究将集中于整合深度学习和人工智能,以提高诊断准确性和临床应用。临床试验号:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research hotspots and trends of pediatric bone age: A bibliometric and visualization analysis.

Purpose: Research related to pediatric bone age has gained substantial scholarly attention over recent decades, given its critical importance in monitoring growth and guiding clinical decision-making in children. This study aims to identify research hotspots and forecast future trends in the field of bone age assessment through bibliometric and visualization analyses.

Method: A comprehensive bibliometric analysis was conducted using the Web of Science Core Collection to retrieve publications related to pediatric bone age from 1965 to 2024. Visualization analyses were performed utilizing VOSviewer (version 1.6.20), CiteSpace (version 6.3.R1), and the R package "bibliometrix."

Results: A total of 4,652 publications on pediatric bone age were subjected for analysis, with an annual growth rate of 8.09%. The United States emerged as the leading contributor, accounting for 27.7% of the total publications, followed by China and Italy. Harvard University was identified as the most productive institution, with 328 publications, and the Journal of Clinical Endocrinology & Metabolism was the most influential journal in the field. The top three frequently occurring keywords included "growth," "age," and "therapy." Keyword bursts revealed emerging keywords such as "deep learning" and "artificial intelligence."

Conclusion: This bibliometric analysis identified that the future research within this area is expected to focus on integrating deep learning and artificial intelligence to improve diagnostic accuracy and clinical applications.

Clinical trial number: Not applicable.

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来源期刊
Lasers in Medical Science
Lasers in Medical Science 医学-工程:生物医学
CiteScore
4.50
自引率
4.80%
发文量
192
审稿时长
3-8 weeks
期刊介绍: Lasers in Medical Science (LIMS) has established itself as the leading international journal in the rapidly expanding field of medical and dental applications of lasers and light. It provides a forum for the publication of papers on the technical, experimental, and clinical aspects of the use of medical lasers, including lasers in surgery, endoscopy, angioplasty, hyperthermia of tumors, and photodynamic therapy. In addition to medical laser applications, LIMS presents high-quality manuscripts on a wide range of dental topics, including aesthetic dentistry, endodontics, orthodontics, and prosthodontics. The journal publishes articles on the medical and dental applications of novel laser technologies, light delivery systems, sensors to monitor laser effects, basic laser-tissue interactions, and the modeling of laser-tissue interactions. Beyond laser applications, LIMS features articles relating to the use of non-laser light-tissue interactions.
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