心电图深度学习模型的临床应用,方法和科学报告:系统性审查
Vennela Avula1, Katherine C Wu2, Richard T Carrick2
1Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
JACC. Advances
|January 30, 2024
概括
对心电图 (ECG) 的深度学习模型越来越多地用于临床预测. 然而,报告标准不一致,阻碍了这些心血管健康工具的可复制性和外部验证.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 电心电图 (ECG) 对于评估心血管健康至关重要.
- 深度学习 (DL) 正在增强ECG分析以预测临床结果.
- 脑电图DL模型在各种临床应用中越来越受欢迎.
研究的目的:
- 绘制当前临床相关的ECG DL模型的地图.
- 评估ECG DL研究的科学报告实践.
主要方法:
- 对PubMed和EMBASE数据库进行系统审查.
- 包括在2022年7月1日之前发布的临床相关的ECG DL模型.
主要成果:
- 鉴定了44个手稿,详细介绍了53个独特的ECG DL模型.
- 关于ECG DL模型的发布率正在迅速增加.
- 最受欢迎的应用包括心肌病 (26%) 和心律失常 (17%).
- 报告中指出了可变性:75%的报告包括了架构图,但只有23%提供了可重现的细节.
- 外部验证有限 (34%),代码可用性低 (11%).
结论:
- 电脑心电图DL模型显示越来越多的临床相关性,但报告不一致.
- 缺乏细节阻碍了方法论的复制和外部验证.
- 需要标准化的报告准则来推进ECG DL领域的发展.
相关概念视频
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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
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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
An ECG utilizes electrodes on the skin...
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