慢性疾病自我管理中的人工智能:当前的应用和未来的方向
Ying Du1, Peng Yang2, Yuntao Liu3
1Department of Health Management, Affiliated Renhe Hospital of China Three Gorges University, Yichang, Hubei, China.
Frontiers in public health
|December 8, 2025
概括
人工智能 (AI) 在慢性疾病自我管理中提供了四个关键角色,包括个性化的支持和监控. 为了有效的临床整合,必须解决数据隐私和参与等挑战.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 数字健康数字健康
背景情况:
- 慢性疾病需要持续的自我管理支持.
- 整合人工智能 (AI) 等先进技术提供了机遇和挑战.
研究的目的:
- 总结AI在慢性疾病自我管理中的应用.
- 批判性地评估人工智能工具的有效性.
- 确定实施障碍和未来研究方向.
主要方法:
- 进行了叙事文学评论.
- 搜索的数据库包括PubMed,科学网和Scopus.
- 对人工智能支持的慢性疾病自我管理工具的研究被主题综合.
主要成果:
- 人工智能功能包括个性化决策支持,持续监控,对话代理以及支持人工智能的移动健康 (mHealth) 平台.
- 主要挑战包括数据隐私,算法偏见,互操作性,用户参与和数字沟.
- 报告指出,关于临床效果和成本效益的高质量证据有限.
结论:
- 未来的人工智能开发应该专注于准确性,可解释性和可信度.
- 加强临床整合和严格的评估至关重要.
- 解决道德和实施障碍对于最大限度地发挥AI在慢性疾病护理方面的潜力至关重要.
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