用人工智能增强的心电图用于心脏粉症的诊断:系统性审查和元分析
Laibah Arshad Khan1, Fahad Hassan Shaikh2, Muhammad Sami Khan3
1Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
Current problems in cardiology
|September 21, 2024
概括
分析心电图 (ECG) 的人工智能 (AI) 模型在检测心脏粉症 (CA) 中显示出高准确度. 这些AI-ECG工具为早期诊断和干预CA提供了有希望的方法.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 由于不同的临床表现,心脏氨基粉症 (CA) 诊断经常被推迟.
- 电心电图 (ECG) 是一种广泛可用的心血管评估工具.
- 人工智能分析的心电图对CA的诊断准确性需要聚合评估.
研究的目的:
- 评估人工智能 (AI) 模型使用心电图诊断心肌粉症 (CA) 的聚合精度.
- 评估AI-ECG对整体CA及其亚型的表现:跨氨酸粉症 (ATTR) 和轻链粉症 (AL).
主要方法:
- 在Scopus,MEDLINE和Cochrane CENTRAL数据库中进行系统的文献搜索,截至2024年4月.
- 包括报告人工智能增强的电脑电图诊断CA的导出和验证队列的研究,不包括结合方式的研究.
- 使用随机效应模型对接收器运行特征曲线 (AUC) 下面面积的元分析.
主要成果:
- 有7个队列的5项研究 (8,639个导出,3,843个验证) 符合资格标准.
- 综合CA的AUC为0.89 (95%CI,0.86-0.91). 整体CA的AUC是0.89 (95%CI,0.86-0.91). 整体CA的AUC是0.89 (95%CI,0.86-0.91). 整体CA的AUC是0.89 (95%CI,0.86-0.91). 整体CA的AUC是0.89 (95%CI,0.86-0.91). 整体CA的AUC是0.89 (95%CI,0.86-0.91).
- 亚型的聚合AUC为0.90 (95%CI,0.86-0.95) 的ATTR氨基粉症和0.80 (95%CI,0.80-0.93) 的AL氨基粉症.
结论:
- 人工智能增强的心电图模型在检测心脏粉症方面表现出显著的有效性.
- 这些AI-ECG工具代表了早期CA检测和及时干预的宝贵潜在资源.
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