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人工智能和数字工具用于设计和执行心血管临床试验

Jiun-Ruey Hu^1,2, John R Power³, Faiez Zannad^4,5

¹Section of Cardiovascular Medicine, School of Medicine, Yale University, New Haven, CT, USA.

European heart journal

|December 3, 2024

概括

数字健康技术可以通过提高效率和准确性来改变心血管临床试验. 然而,为了成功实施,必须解决监管障碍和健康公平等挑战.

科学领域:

心血管医学心血管医学
数字健康数字健康
临床试验创新临床试验创新

背景情况:

数字健康技术为心血管临床试验提供了变革性的潜力.
进步包括自动诊断,数据合成,远程监控和in silico建模.
这些工具可以提高试验的效率,准确性和成本效益.

研究的目的:

审查心血管临床试验中数字工具的情况.
确定实施这些技术的障碍和机会.
为研究人员和利益相关者提供全面的概述.

主要方法:

对当前数字健康技术进行叙述性审查.
在临床试验阶段 (从计划到执行) 分析应用程序.
检查挑战和潜在的解决方案,以采用.

主要成果:

数字工具可以彻底改变试验设计和进行.
关键应用包括患者发现,数据管理和远程监控.
重要的挑战包括监管,验证和公平性问题.

结论:

数字健康对推进心血管研究具有巨大的前景.
解决实施障碍对于充分发挥潜力至关重要.
成功的整合需要合作和战略规划.

关键词:

人工智能的人工智能是人工智能.心血管健康的心血管健康临床试验中的临床试验.数字工具数字工具.不平等的差异差异的差异实施实施实施规则规则规则规则规则规则

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