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对2型糖尿病患者的基于人工智能的健康教育干预措施进行全面审查
Chen Li1, Wei Li2, Yanru Shao2
1School of Nursing, Jining Medical University, Jining, 272067, People's Republic of China.
Diabetes, metabolic syndrome and obesity : targets and therapy
|September 25, 2025
概括
人工智能 (AI) 可以通过个性化的健康教育来改善2型糖尿病 (T2DM) 管理. 人工智能干预在血糖控制和自我管理方面表现出有效性,但参与和数据隐私等挑战需要解决.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 2型糖尿病 (T2DM) 是一个重大的全球健康挑战,需要有效的患者教育自我管理.
- 人工智能 (AI) 为健康教育提供可扩展,个性化的解决方案,但其在T2DM中的应用尚未全面合成.
研究的目的:
- 为T2DM绘制基于AI的健康教育干预方案.
- 评估这些人工智能干预措施的技术,有效性和挑战.
主要方法:
- 以阿克西和奥马利框架为指导的范围审查.
- 从2008年到2025年3月的研究中搜索了七个学术数据库.
- 包括14项涉及32478名成年T2DM患者的干预研究.
主要成果:
- 人工智能干预利用了各种技术,如移动应用程序,聊天机器人和用于饮食,血糖监测和生活方式管理的智能平台.
- 在血糖控制 (HbA1c降低至2.59%),自我管理坚持 (60-85%) 和心理结果方面观察到显著改善.
- 关键的挑战包括技术复杂性,低长期参与度,数字素养差距和数据隐私问题.
结论:
- 人工智能显示出个性化和可访问的T2DM健康教育的巨大潜力.
- 未来的研究应该集中在克服技术障碍,以用户为中心的设计和医疗保健系统的整合,以实现可持续性和公平.
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