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基于儿科心电图的深度学习来预测第二次心房 Septal 缺陷

Joshua Mayourian^1,2, Robert Geggel^1,2, William G La Cava^1,2

¹Department of Cardiology, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.

Pediatric cardiology

|July 2, 2024

概括

人工智能增强心电图 (AI-pECG) 显示出在儿童中检测二次心房隔膜缺陷 (ASD2) 的前景. 这种人工智能工具可以帮助儿童患者早期查和诊断ASD2.

科学领域:

心脏病学心脏病学
人工智能的人工智能
儿科健康儿科健康

背景情况:

在儿童中,第二次心房隔膜缺陷 (ASD2) 的检测往往会延迟,导致潜在的并发症.
人工智能 (AI) 在成年人心电图分析中对ASD2检测表现有前途,但小儿应用尚未得到充分探索.

研究的目的:

开发和评估AI-pECG模型,用于检测小儿病患者 (≤18岁) 的ASD2.
评估模型在内部测试和紧急部门队列中的表现.

主要方法:

一个卷积神经网络 (AI-pECG) 在儿科患者的配对心电图-心电图 (≤2天间隔) 上受训.
使用AUROC和AUPRC对内部测试和紧急部门队列进行模型性能评估.

主要成果:

人工智能-pECG模型在两个队列中都表现出强的表现 (内部测试:AUROC 0.84,AUPRC 0.46;ED队列:AUROC 0.80,AUPRC 0.30).
AI-pECG的表现优于不完整的右捆分支区块的传统ECG发现.
可解释性分析确定了与ASD2风险相关的关键ECG特征.

结论:

人工智能pECG显示出在儿童患者中廉价查和检测ASD2的显著前景.
需要进一步的多中心验证和前性试验,以将AI-pECG纳入临床决策.

关键词:

人工智能的人工智能是人工智能.前庭隔膜缺陷在前庭隔膜缺陷.电心电图 (ECG) 是一种心电图.儿科心脏病学儿科心脏病学

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Introduction
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
An ECG utilizes electrodes on the skin...