队列概况:用于临床和工业应用的CCTA国家AI驱动平台 (APOLLO)
Lohendran Baskaran1,2, Shuang Leng2,3, Utkarsh Dutta4
1Department of Cardiology, National Heart Centre Singapore, Singapore.
BMJ open
|December 2, 2024
概括
使用冠状动脉CT血管造影 (CCTA) 数据开发了一个AI平台,以评估新加坡冠状动脉疾病 (CAD) 风险.
科学领域:
- 心血管成像 - 心血管成像
- 人工智能在医学中的应用
- 公共卫生 公共卫生
背景情况:
- 冠状动脉疾病 (CAD) 造成了严重的健康负担,特别是在亚洲.
- 基于CT的新型风险标志物正在出现,用于CAD评估.
- 需要一个自动化平台来整合患者数据与CCTA发现,以准确地分层风险.
研究的目的:
- 在新加坡的多民族人口中使用CCTA开发一个人工智能 (AI) 驱动的CAD评估平台.
- 整合患者数据和CCTA发现,以进行量身定制的心血管风险评估.
- 为了生成精确的AI工具包,用于自动报告CAD参数.
主要方法:
- 4196名接受CCTA的患者的混合追溯前性招募.
- 对冠状动脉狭窄的CCTA图像的分析,阿加斯顿分数,心上脂肪组织和斑块特征.
- 使用预处理的队列数据开发四个人工智能模块进行培训,测试和验证.
主要成果:
- 人工智能模块是使用4196名患者 (75%的中国人,6%的马来人,10%的印度人) 的数据开发的.
- 数据预处理标准化图像格式和属性用于AI模型开发.
- 该平台将CCTA分析与基线患者特征集成.
结论:
- 使用CCTA进行CAD评估的AI驱动平台已在多民族的新加坡人群中开发和验证.
- 该平台旨在提供自动化,精确的心血管风险评估.
- 未来的后续行动将评估平台对临床结果和医疗保健服务的影响.
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