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数字双胞胎在精密心脏病学中的技术,临床应用和实施障碍:系统审查
Fatemeh Sarani Rad1, Ehsan Bitaraf2, Maryam Jafarpour3
1Computer Science Department, North Dakota State University, 1320 Albrecht Blvd, Fargo, ND, 58105, United States, 1 (701) 231-9662.
JMIR cardio
|January 8, 2026
概括
心脏病学中的数字双胞胎为诊断和治疗提供了个性化的模拟. 然而,碎片化的开发,有限的验证和道德问题阻碍了它们的广泛临床实施和对患者结果的影响.
科学领域:
- 心血管研究的心血管研究.
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 数字双胞胎系统对精密心脏病学非常有前途,使患者特定的模拟成为可能.
- 目前心血管数字双胞胎的开发,验证和实施是分散的,具有显著的变异性.
研究的目的:
- 系统地审查心血管数字双胞胎研究的现状.
- 解决关于建模,数据,临床应用,影响,障碍和道德方面的关键问题.
主要方法:
- 系统搜索5个数据库,选330个记录,包括42项研究.
- 数据提取以11个研究问题为指导,涵盖建模,数据,应用和伦理.
- 使用多个既有工具进行偏差风险评估.
主要成果:
- 大多数数字双胞胎使用机械模型 (69%);AI/ML (18项研究) 经常使用深度学习或贝叶斯方法.
- 个性化依赖于成像 (76%) 和电信号 (43%);可视化是静态的 (98%).
- 应用包括治疗规划和风险预测,对改善患者结果的证据有限;关键障碍涉及模型假设,数据问题,验证和整合.
结论:
- 心血管数字双胞胎具有精密心脏病学的潜力,特别是在治疗规划和风险预测方面.
- 实施受到异质性,数据限制,缺乏验证和不充分的伦理考虑所阻碍.
- 未来的研究需要标准化框架,临床验证,以用户为中心的设计和道德基础.
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