Contemporary Nursing
Contemporary Nursing. 2026; 7: (6) ; 10.12208/j.cn.20260291 .
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华中科技大学同济医学院附属同济医院 湖北武汉;
*通讯作者： 杨肖,单位：华中科技大学同济医学院附属同济医院 湖北武汉; ；
目的 综述多模态数据与人工智能在心力衰竭远程监护管理中的研究进展。方法 通过检索近年来国内外相关文献，对多模态数据融合技术、人工智能算法及远程监测系统在心力衰竭管理中的应用进行系统分析。结果 多模态数据与AI技术可显著提升心力衰竭的风险预测、远程监测及个体化管理水平，但在数据安全、模型泛化能力等方面仍存在挑战。结论 未来应加强多中心研究及技术整合，以推动远程智慧护理模式的规范化发展。
Objective To review the research progress of multimodal data and artificial intelligence in the remote monitoring and management of heart failure. Methods By reviewing relevant literature from recent years both domestically and internationally, this study systematically analyzes the application of multimodal data fusion technologies, AI algorithms, and remote monitoring systems in heart failure management. Results Multimodal data and AI technologies significantly enhance risk prediction, remote monitoring, and personalized management of heart failure; however, challenges remain in areas such as data security and model generalization capabilities. Conclusion Future efforts should focus on strengthening multicenter studies and technological integration to promote the standardized development of remote intelligent nursing models.
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