通过机器学习检测心声扫描中的左心衰竭:一个系统性审查
Lies Dina Liastuti1,2, Bambang Budi Siswanto1, Renan Sukmawan1
1Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Hospital, 15810 Jakarta, Indonesia.
Reviews in cardiovascular medicine
|July 30, 2024
概括
人工智能 (AI) 显示出提高心力衰竭诊断的准确性和速度的承诺,使用心声回声学来诊断心力衰竭. 人工智能作为一种有价值的工具来协助临床医生,但不会取代他们在患者护理中的重要作用.
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:
- 心力衰竭是一个重大的医疗保健挑战,特别是在亚洲.
- 声心图对于评估心脏功能至关重要,但面临着资源和时间的限制,COVID-19大流行加剧了这种情况.
- 人工智能 (AI) 提供了准确和快速的心力衰竭诊断的潜力.
研究的目的:
- 系统地审查关于人工智能在心脏衰竭诊断中的心声回声学应用的文献.
- 评估人工智能驱动的诊断工具的准确性和方法.
主要方法:
- 在多个数据库 (欧洲PMC,ProQuest,科学直接,PubMed,IEEE) 进行系统的文献搜索,遵守PRISMA指南.
- 使用QUADAS-2进行的纳入研究的质量和偏差评估风险.
- 在2105项检索中,分析了14项选定的研究.
主要成果:
- 包括14项研究,其中5项显示存在偏见风险.
- 常用的心声回声图视图是2D和3D数据集的顶顶四腔 (A4C) 和顶顶两腔 (A2C).
- 卷积神经网络是最常见的AI方法,诊断准确度从57%到99.3%不等.
结论:
- 人工智能在心声回声学中的应用表明了左心力衰竭的增强和加快诊断的潜力.
- 人工智能应该被视为支持临床医生的补充工具,而不是取代他们.
- 临床医生的参与对于准确的诊断和全面的患者管理至关重要.
相关概念视频
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Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
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Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
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Transthoracic Echocardiography (TTE)
TTE is the most common type of echocardiogram which involves placing a transducer on the patient's chest, emitting sound waves to create heart images. TTE is invaluable for evaluating the heart's size, structure, and motion, making it particularly useful for...
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