使用人工智能支持的心脏磁共振成像对心血管疾病的查和诊断
Yan-Ran Joyce Wang1, Kai Yang2, Yi Wen3
1School of Medicine, Stanford University, Stanford, CA, USA. wangyanran100@gmail.com.
Nature medicine
|May 13, 2024
概括
计算机化心磁共振成像 (CMR) 解释有助于心血管疾病 (CVD) 的查和诊断. 这种由人工智能驱动的方法显示出高精度和提高识别各种心血管疾病类型的效率的潜力.
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
- 医学诊断 医学诊断 医学诊断
背景情况:
- 心脏磁共振成像 (CMR) 对于评估心脏功能和诊断心血管疾病 (CVD) 是必不可少的.
- 对CMR解释的大量资源需求阻碍了其更广泛的临床应用.
- 需要有效和可扩展的CMR分析方法.
研究的目的:
- 开发和验证CMR的计算机化解释系统,用于查和诊断11种心血管疾病.
- 建立一个使用CMR进行心血管疾病评估的两阶段范式.
- 评估人工智能支持的CMR解释与人类专家的性能.
主要方法:
- 开发和验证用于计算机化CMR解释的AI模型.
- 实施两阶段方法:以cine为基础的查,然后以cine和晚期加多增强为基础的诊断.
- 使用来自9719名患者的内部和外部数据集评估模型性能.
主要成果:
- 查和诊断模型表现出高性能,曲线下的面积分别为0.988 ± 0.3%和0.991 ± 0.0%.
- 人工智能诊断模型在诊断肺动脉高血压方面超过了心脏病学家.
- 该研究通过AI分析确定了新的CMR特征,表明心血管疾病.
结论:
- 计算机化CMR解释为心血管疾病查和诊断提供了高度准确和高效的解决方案.
- 人工智能支持的CMR有可能检测到以前未被识别的诊断特征.
- 这项技术可以显著提高CMR解释的效率和可扩展性,改善心血管疾病患者的护理.
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