人工智能应用于慢性病的自我管理:范围审查
Misun Hwang1, Yaguang Zheng2, Youmin Cho3
1School of Nursing, University of Michigan, Ann Arbor, MI, United States.
Journal of medical Internet research
|April 8, 2025
概括
人工智能 (AI) 对慢性疾病自我管理有很大的希望,但大多数应用程序都处于早期发展阶段. 需要进一步的研究来优化人工智能,以便在医疗,行为和情绪自我护理方面获得更好的患者结果.
科学领域:
- 数字健康数字健康
- 医疗保健中的人工智能
- 患者自我管理
背景情况:
- 人工智能 (AI) 具有显著的潜力,可以增强慢性疾病患者的自我管理支持.
- 当前的人工智能应用程序在慢性疾病自我管理中往往无法满足患者的需求和性能预期.
- 了解人工智能在自我管理中的作用对于开发有效的定制解决方案至关重要.
研究的目的:
- 综合审查用于慢性疾病自我管理的AI应用程序,重点关注医疗,行为和情绪任务.
- 确定当前AI技术在这一领域的发展阶段.
- 确定AI在慢性疾病自我管理方面的现有知识差距.
主要方法:
- 使用2011年1月至2024年10月的数据进行了系统文献审查.
- 在四个数据库中进行了搜索:PubMed,科学网,CINAHL和PsycINFO.
- 研究包括患有慢性疾病的成年人群,重点关注支持自我管理的AI技术,遵守PRISMA-ScR指南.
主要成果:
- 在1873篇获取的文章中,66篇符合纳入标准.
- 糖尿病是最常被研究的疾病 (30%).
- 人工智能主要支持医疗 (68%) 和行为 (41%) 自主管理,较少关注情绪自主管理 (21%). 对话式人工智能 (32%) 和机器学习 (24%) 是常见的. 大多数人工智能技术都处于早期发展阶段 (算法开发或可行性测试).
结论:
- 人工智能技术正在开发用于各种慢性病的自我管理方面,包括药物,症状和生活方式.
- 情绪自我管理目前的人工智能应用较少,大多数的人工智能工具都处于初步开发阶段.
- 进一步的研究对于验证人工智能集成对于最佳慢性疾病自我管理结果至关重要.
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