人工智能在慢性疾病护理中的应用研究趋势:一项书目计量和网络可视化研究
Chao Du1, Jing Zhou1, Yuexin Yu1
1Department of Reproductive Medicine, General Hospital of Northern Theater Command, Shenyang, China.
Frontiers in digital health
|July 4, 2025
概括
人工智能 (AI) 正在彻底改变慢性疾病护理. 这项研究使用了参考资料来分析慢性疾病研究中的AI,确定关键趋势和未来的方向,如医疗物联网.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 慢性病和多病症呈现出越来越多的全球医疗保健挑战.
- 人工智能 (AI) 为改善慢性疾病管理提供了巨大的潜力.
- 需要进行系统审查,以了解当前的人工智能应用和该领域的未来趋势.
研究的目的:
- 在慢性疾病护理中对人工智能研究进行文献分析.
- 识别当前的趋势,关键主题和有影响力的研究领域.
- 预测人工智能驱动慢性疾病管理的未来研究前景.
主要方法:
- 从科学网络核心收藏 (2001-2023) 中对2438篇文章进行了图书统计分析.
- 使用CiteSpace和VOSviewer进行数据可视化和分析.
- 研究了出版趋势,领先的国家,机构,期刊和关键词.
主要成果:
- 出版量显示爆炸式增长,美国领先于研究产出.
- 主要应用领域包括糖尿病视网膜病变,心脏病预测和癌症检测 (乳腺,皮肤).
- 主要的方法包括机器学习,深度学习,神经网络和文本挖掘;医疗物联网是未来的热点.
结论:
- 本文献分析提供了AI在慢性疾病护理中的全面概述.
- 识别当前的研究状态,热门话题和新兴趋势.
- 提供了对人工智能用于慢性疾病管理的未来研究和应用开发的见解.
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