基于人工智能语音仪的左心脏病自动诊断
Ziwei Zhou1, Kaipeng Xie2, Yiquan Huang1
1Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou, China.
JACC. Advances
|August 21, 2025
概括
人工智能听力镜可以准确检测左侧膜心脏病 (VHD). 这种由人工智能驱动的查工具显示出在临床环境中实用性,广泛的VHD检测的前景.
科学领域:
- 心脏病学
- 生物医学工程
- 医学中的人工智能
背景情况:
- 心脏膜疾病 (VHD) 往往被低估,导致严重的并发症.
- 早期检测和查对于有效的VHD治疗至关重要.
研究的目的:
- 开发基于人工智能 (AI) 的听力镜模型.
- 该模型旨在检测特定的左侧VHD病症:大动脉狭窄,大动脉吐,心肌狭窄和心肌吐.
主要方法:
- 一个机器学习算法是使用电子耳语镜记录心脏声音的.
- 该算法在一个衍生组上进行了训练,并在一个单独的测试组上进行了验证.
- 声心图作为诊断的黄金标准;使用接收器运行特征 (AU-ROC) 曲线下的面积来评估模型性能.
主要成果:
- 人工智能模型展示了各种左侧VHD的诊断性能,AU-ROC值从0.6426 (心脏狭窄) 到0.7906 (心脏吐).
- 对于训练组的整体左侧VHD检测,该模型的AU-ROC为0.8541,灵敏度为83.07%和特异性为78.26%.
- 在测试组中,人工智能模型达到70.00%的灵敏度,73.68%的特异性,左侧VHD检测的AU-ROC为0.7554.
结论:
- 这种基于人工智能的耳机对左侧VHD具有准确的诊断能力.
- 这项技术有可能使常规VHD查变得更加实用和可访问.
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