针对个性化抗高血压治疗的CURATE.AI辅助剂量定位:使用CURATE.AI (CURATE.AI ADAPT试验) 进行多臂随机试验可行性试验的研究方案
Anh T L Truong1,2,3, Shi-Bei Tan1,2,3, Golda Z Wang4
1The N.1 Institute for Health (N.1), National University of Singapore, 28 Medical Drive, Singapore 117456, Singapore.
European heart journal. Digital health
|January 24, 2024
概括
这项试点研究探讨了CURATE.AI,一个人工智能平台,用于个性化高血压管理. 它评估了使用人工智能用于抗高血压剂量定位以改善血压控制的可行性.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 高血压管理需要个性化的治疗策略.
- 由人工智能 (AI) 驱动的平台为优化抗高血压剂量提供了潜力.
- CURATE.AI是一个小型数据平台,旨在协助医生提供个性化高血压护理.
研究的目的:
- 评估一个更大的随机对照试验 (RCT) 的可行性,用于人工智能辅助的高血压治疗干预.
- 为了评估CURATE.AI辅助的抗高血压剂量定位的有效性和安全性.
- 收集利益相关者的反,以改进干预设计.
主要方法:
- 一个1:1:1随机试点可行性试验,涉及45名患有初级高血压的参与者.
- 干预臂:控制,家庭血压监测 (HBPM) 和CURATE.AI (HBPM + AI辅助剂量定位).
- 主要终点侧重于RCT进展的后勤和科学可行性;次要终点评估了初步的疗效和安全性.
主要成果:
- 该研究将确定CURATE.AI用于个性化高血压管理的可行性.
- 将收集关于降低血压的初步疗效数据.
- 包括住院事件在内的安全数据将在治疗手臂中进行分析.
结论:
- 这些发现将为更大的CURATE.AI.RCT的改进提供信息.
- 这项研究可能表明CURATE.AI有潜力通过个性化定位来增强血压控制.
- 利益相关者的反将指导未来的实施策略.
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