用人工智能驱动的左心室喷射断片分析,使用LVivoEF工具为COVID-19患者进行分析
Ziv Dadon1,2, Yoed Steinmetz1,2, Nir Levi1,2
1Jesselson Integrated Heart Center, Shaare Zedek Medical Center, Jerusalem 9103102, Israel.
Journal of clinical medicine
|December 23, 2023
概括
手持式超声波设备上的AI工具准确地评估了COVID-19患者的左心室喷射分数 (LVEF). 由AI识别的减少的LVEF预测了更糟糕的住院结果,有助于临床决策.
科学领域:
- 心脏病学 心脏病学
- 人工智能在医学中的应用
- 护理中心超声波检查
背景情况:
- COVID-19可能导致心脏并发症,包括左心室喷射率 (LVEF) 损伤.
- 准确和及时的LVEF评估对于管理COVID-19患者至关重要.
- 传统的心声回声仪需要专门的专业知识和设备,限制了护理场所的应用.
研究的目的:
- 在COVID-19患者中使用手持式超声波设备 (HUD) 来前性评估基于AI的LVEF评估工具的准确性.
- 为了确定AI-HUD评估的减少的LVEF是否预测了COVID-19患者的不良复合终点.
主要方法:
- 涉及42名COVID-19患者的前景调查.
- 使用配备人工智能的HUD进行实时LVEF评估,与盲目心声仪评估相比.
- 分析AI-HUD与心声回声仪LVEF测量之间的相关性和一致性.
主要成果:
- 在AI-HUD和心声回声仪LVEF评估之间,有很好的相关性 (r=0.774,p<0.001) 和实质性的一致性 (kappa=0.797,p<0.001).
- AI-HUD显示高灵敏度 (72.7%) 和特异性 (100%) 检测LVEF<50%.
- 基于AI的减少的LVEF (<50%) 与较差的复合终点显著相关 (调整后OR=6.40,p=0.041).
结论:
- 人工智能集成的HUD可在COVID-19患者中提供可靠的实时LVEF评估.
- 这个AI-HUD工具可以作为一个有价值的决策支持系统.
- 基于AI的LVEF评估可以确定COVID-19患者有不良结果的风险.
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