启用AI的心电图指数用于预测ST段升高心肌梗塞患者的左心室功能障碍
Ki-Hyun Jeon1, Hak Seung Lee2,3, Sora Kang4,5
1Department of Internal Medicine, Seoul National University College of Medicine and Department of Cardiology, Seoul National University Bundang Hospital, Seongnam, South Korea. imcardio@gmail.com.
人工智能 (AI) 在ST段升高心肌梗塞 (STEMI) 治疗后分析心电图 (ECG) 变化,可以预测左心室 (LV) 功能障碍. 这种支持人工智能的心电图指数可以识别高风险患者,以便及时进行干预.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 医学诊断 医学诊断 医学诊断
背景情况:
- 在ST段升高心肌梗塞 (STEMI) 中,初级皮肤穿冠状动脉干预 (PCI) 后心电图 (ECG) 变化与患者预后相关.
- 早期预测左心室 (LV) 功能障碍对于管理STEMI患者至关重要.
研究的目的:
- 评估人工智能支持的心电图算法的可行性,以预测STEMI患者的LV功能障碍.
- 评估AI算法在PCI后量化心电图变化的能力,并将其与临床结果相关联.
主要方法:
- 637名STEMI患者的连续ECG在多个时间点使用AI算法进行分析 (PCI前,PCI后,6小时,24小时,出院,1个月).
- 人工智能算法量化了STEMI概率并生成了一个索引.
- 统计分析将AI衍生的概率指数与LV功能障碍和临床结果的患病率相关联.
主要成果:
- 人工智能衍生的概率指数显示,与LV功能障碍的患病率存在显著关联.
- 一个更高的AI概率指数独立预测了LV功能障碍.
- 升高的指数与心脏病死亡率和心力衰竭住院病例的增加有关.
结论:
- 人工智能支持的心电图分析有效量化了STEMI患者PCI后心电图变化.
- 由人工智能衍生的心电图指数作为数字生物标志物,用于预测STEMI后的乳房功能障碍,心力衰竭和死亡率.
- 这种人工智能工具有助于早期识别高风险的STEMI患者,促进及时干预和改善结果.
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