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人工智能在类风湿性疾病中的应用:一个文献计量分析

Junkang Zhao^1,2, Linxin Li³, Jie Li³

¹Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, No. 99 Longcheng Street, Taiyuan, 030032, China.

Clinical and experimental medicine

|August 22, 2024

概括

人工智能 (AI) 正在彻底改变类风湿病研究,改善诊断和治疗. 本文献分析揭示了关键趋势,主要贡献者和在风湿病学人工智能应用中的新兴热点.

科学领域:

风湿病学和免疫学
医疗信息学医疗信息学
人工智能的人工智能

背景情况:

人工智能 (AI) 应用在风湿性疾病中变得越来越重要,增强诊断,预测患者的结果和个性化治疗.
随着越来越多的研究需要进行文献计量分析,以了解当前的进展和研究重点领域在AI的类风湿性疾病.

研究的目的:

在风湿性疾病中对AI进行文献分析.
确定该领域的研究热点,趋势和合作网络.
确定关键贡献者及其相互关系.

主要方法:

在2024年1月1日之前发表的3508篇文章的图书统计分析,来源于科学网 (SSCI和SCI-EXPANDED).
使用VOSviewers和CiteSpace分析出版年,期刊,国家,机构,作者,引用和关键词.
评估研究热点,趋势和协作网络.

主要成果:

观察到,每年关于风湿性疾病中人工智能的出版物持续增加.
"科学报告"是主要的期刊;美国在出版物中占主导地位.
加利福尼亚大学旧金山分校 (UCSF) 是最多产的机构;Young Ho Lee和Valentina Pedoia是著名的作者,Pedoia的平均引用率最高.
机器学习成为一个主要的关键词,表明了重要的研究重点.

结论:

人工智能对类风湿病的研究正在迅速扩大,并变得越来越重要.
本研究提供了关于研究趋势,前沿和新兴方向的全面概述.
这些发现为未来的研究合作和在风湿病学和免疫学方面的学术努力提供了宝贵的见解.

关键词:

人工智能的人工智能是人工智能.图书统计学图书统计学在CiteSpace中使用CiteSpace.机器学习机器学习类风湿性疾病类风湿性疾病在VOS观众的视频中.

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