全球人工智能研究趋势与2型糖尿病:一个图书计量视角
Paul Anthony Camacho López1,2,3, Maria G Latorre-Arevalo2, Pablo Camacho-Naranjo4
1Faculty of Medicine, Universidade de São Paulo (USP), São Paulo, BRA.
Cureus
|August 20, 2025
概括
人工智能 (AI) 正在彻底改变2型糖尿病 (T2DM) 的管理. 这项研究绘制了人工智能和T2DM研究趋势,强调了人工智能用于糖尿病视网膜病变检测和葡萄糖监测,中国和印度领导全球合作.
科学领域:
- 医疗信息学
- 人工智能
- 公共卫生
背景情况:
- 在2型糖尿病 (T2DM) 中的人工智能 (AI) 应用正在快速发展,但缺乏对研究趋势和合作的系统概述.
- 这对旨在利用人工智能用于T2DM诊断和管理的公共卫生倡议构成挑战.
- 了解当前的环境对于未来的研究和政策制定至关重要.
研究的目的:
- 从2000年到2024年对T2DM应用的AI学术文献进行全面的文献分析.
- 绘制该领域的关键参与者,合作网络和主要研究主题.
- 确定人工智能驱动的T2DM研究的趋势和未来机会.
主要方法:
- 从科学网络数据库 (2000-2024) 中对1454篇文章和134篇评论进行了图书统计分析.
- 使用了Bibliometrix,VOSviewer和CitNetExplorer来分析出版模式,共同引用网络和关键词.
- 识别了有影响力的作者,机构和国家,并绘制了研究主题.
主要成果:
- 人工智能和T2DM研究的年增长率为1.7%,在2020-2024年间显著加快.
- 主要研究领域包括用于糖尿病视网膜病变检测和持续血糖监测的AI.
- 中国 (27.4%) 和印度 (20.5%) 在科学生产和国际合作方面处于领先地位.
结论:
- 人工智能对T2DM的研究正在扩大,主要应用在诊断和监测方面.
- 国际合作,特别是来自中国和印度的合作,
- 研究结果为研究政策提供信息,并优化T2DM管理的AI策略.
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