心力衰竭中的人工智能 - 一个全面的文献综述
1Internal Medicine Hospitalist, Winchester Medical Center, Winchester, VA, United States. alyacoubramiz@yahoo.com.
Cardiology journal
|October 14, 2025
概括
人工智能 (AI) 正在通过改进诊断,个性化治疗和远程监控来彻底改变心力衰竭 (HF) 管理. 克服数据和培训挑战是充分利用人工智能的关键,以获得更好的患者结果和减少医疗保健负担.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 心力衰竭 (HF) 给全球健康带来了重大挑战,其特点是住院和死亡率高.
- 人口日益老龄化和HF患病率加剧了医疗保健负担.
- 由于疾病异质性和并发性疾病,目前的HF管理面临限制.
研究的目的:
- 审查人工智能 (AI) 在心力衰竭管理中的变革性应用.
- 突出AI在提高诊断,风险分层和个性化治疗策略方面的潜力.
- 讨论人工智能采用的障碍,并提出有效整合的解决方案.
主要方法:
- 对高频人工智能应用的当前研究进行系统审查.
- 对人工智能工具进行分析,以提高诊断准确度 (心声图,心电图).
- 评估人工智能算法用于预测分析和治疗量身定制,使用各种数据源.
主要成果:
- 人工智能提高了诊断准确度,并识别了针对性治疗的患者子组.
- 人工智能算法集成多模式数据来预测恶化和个性化治疗.
- 由人工智能驱动的临床决策支持系统 (AI-CDSS) 增强了对指南导向医学治疗 (GDMT) 的坚持.
结论:
- 人工智能为改善心力衰竭患者的结果,减少住院治疗和减轻医疗保健系统压力的巨大潜力.
- 必须解决包括数据完整性,伦理问题和临床医生的培训在内的障碍.
- 联合学习和跨学科的合作对于克服挑战和实现人工智能在HF护理中的全部好处至关重要.
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