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Updated: Jun 14, 2025

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人工智能辅助血糖管理的全球研究趋势:一项文献计量研究
Li Yuan1,2, Yangtian Wang1, Meiping Xing1
1Department of Endocrinology, Nanjing University Medical School Affiliated Taikang Xianlin Drum Tower Hospital, Nanjing, China.
Frontiers in endocrinology
|June 12, 2025
概括
人工智能 (AI) 正通过血糖管理,利用持续血糖监测 (CGM) 和预测模型来增强糖尿病护理. 研究表明,糖尿病人工智能应用显著增加,机器学习和预测建模是关键领域.
科学领域:
- 生物医学信息学 生物医学信息学
- 医疗保健中的人工智能
- 糖尿病 技术 技术
背景情况:
- 人工智能辅助的血糖管理为改善糖尿病护理提供了一个有希望的方法.
- 诸如持续血糖监测 (CGM) 和预测模型等技术是这一进步的核心.
- 为了绘制研究领域的地图,必须进行全面的文献计量分析.
研究的目的:
- 对人工智能在血糖管理方面的研究进行文献分析.
- 识别关键趋势,有影响力的作者和全球研究合作.
- 了解这个研究领域的演变.
主要方法:
- 来自Web of Science核心集合的482篇文章的图书统计分析.
- 使用CiteSpace和VOSviewer进行数据分析.
- 专注于与AI和血糖管理相关的出版物.
主要成果:
- 观察到出版物显著增加,特别是在2016年后.
- 确定了关键的研究集群:持续血糖监测 (CGM),机器学习算法和预测建模.
- 贡献最多的国家包括美国,意大利和英国; *糖尿病技术和治疗学* 是一家领先的期刊.
结论:
- 人工智能技术,特别是机器学习和预测模型,正在显著推进血糖管理.
- 未来的研究应该优先考虑临床整合和可访问性,以改善患者的治疗结果.
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