用于心血管疾病管理的可穿戴技术:全球图书统计分析,对人工智能整合的新见解
Novita Rina Antarsih1, Kemal Nazaruddin Siregar2, Prihatin Oktivasari3
1Doctoral Program, Faculty of Public Health, Universitas Indonesia, West Java, Indonesia; Department of Midwifery, Politeknik Kesehatan Kementrian Kesehatan Jakarta III, Jakarta, Indonesia.
Computers in biology and medicine
|July 16, 2025
概括
可穿戴技术中的人工智能 (AI) 正在通过改进的诊断和个性化护理改变心血管疾病 (CVD) 管理. 集成和数据安全方面的挑战仍然存在,需要进一步的研究才能广泛采用.
科学领域:
- 心血管医学 心血管医学
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
背景情况:
- 可穿戴技术对于心血管疾病 (CVD) 管理至关重要,提供实时监测和个性化护理.
- 人工智能 (AI) 增强了可穿戴设备的功能,但研究趋势和知识差距尚未得到充分探索.
- 将AI整合到可穿戴设备中对于推进心血管疾病护理至关重要.
研究的目的:
- 对心血管疾病管理的可穿戴技术研究进行全面的文献分析.
- 专门研究AI在这个领域的整合和影响.
- 识别关键研究,新兴主题和研究缺口.
主要方法:
- 在主要的学术数据库中对2014-2024年文献进行了图书统计分析.
- 使用引用,共同引用和共同词映射技术.
- 使用VOSviewer和Bibliometrix进行数据分析.
主要成果:
- 人工智能驱动的可穿戴设备可以提高心血管疾病诊断,患者的治疗结果,以及早期检测心房动 (AF).
- 人工智能改进的便携式心电图技术支持心血管护理中的实时决策.
- 临床整合,数据互操作性和隐私方面的挑战需要注意.
结论:
- 穿戴式设备中的人工智能通过精确,个性化的护理彻底改变了心血管疾病管理.
- 持续存在的挑战包括数据安全,算法偏见和临床验证.
- 加速采用需要解决隐私问题,大规模试验,标准化数据和临床医生培训.
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