基于人工智能的真实世界心电图分析,用于诊断多变性心肌病
Milind Y Desai1, Shada Jadam1, Mohammed Abusafia1
1Hypertrophic Cardiomyopathy Center, Heart Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
JACC. Clinical electrophysiology
|March 18, 2025
概括
人工智能增强型心电图 (AI-ECG) 在检测多变性心肌病 (HCM) 中显示出高准确度. 这项现实研究发现了新的HCM病例,证明了AI-ECG.
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:
- 人工智能增强的12导电心电图 (AI-ECG) 对于高性心肌病 (HCM) 检测的兴趣越来越大.
- AI-ECG使用卷积神经网络 (CNN) 训练的算法.
研究的目的:
- 描述使用AI-ECG算法 (Viz-HCM) 来检测HCM的初始现实体验.
- 评估AI-ECG在各种概率值的诊断性能.
主要方法:
- 对2024年2月19日至2024年11月1日的12心电图进行前性分析.
- AI-ECG标记了潜在的HCM患者;确认HCM,新诊断和替代诊断被记录下来.
- 使用≥0.95,≥0.90,≥0.85.5的概率值评估诊断性能.
主要成果:
- 在45,873名患者中,AI-ECG标记了2.7%的潜在HCM患者.
- 在被标记的患者中,有40.4%的HCM确诊,5%的新诊断,54.6%的替代诊断.
- 值≥0.85表明95%的灵敏度和>98%的特异性/精度用于检测HCM.
结论:
- 在AI-ECG用于HCM检测的现实应用非常准确,性能因概率值而异.
- 人工智能心电图成功识别了5%的以前未被诊断的HCM患者.
- 该算法在男性和女性中表现相似,年轻人具有更高的敏感性,老年人具有更高的特异性.
相关概念视频
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An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
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An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
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An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
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