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用心声图形人工智能对心周输液和心脏吸管进行自动评估
I-Min Chiu1,2,3, Milos Vukadinovic1,4, Yuki Sahashi1
1Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
medRxiv : the preprint server for health sciences
|December 9, 2024
概括
一个新的深度学习模型,EchoNet-Pericardium,准确地评估心周溢血的严重程度,并通过心声图检测心脏塞. 这种人工智能工具显示出提高诊断准确度和减少对操作员技能的依赖的潜力.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 周心输出和心脏吸管检测具有挑战性,并且取决于操作者.
- 及时诊断对于患者的治疗结果至关重要.
研究的目的:
- 开发和验证一个深度学习模型,用于自动评估心周溢出严重程度和心脏坦波纳德.
- 为了减少对心声回声评估的操作员依赖.
主要方法:
- 开发了EchoNet-Pericardium,这是一个使用时空卷积神经网络的深度学习模型.
- 在来自塞达斯-西奈医疗中心 (CSMC) 的大型回顾性数据集 (1 427 660 个视频) 上进行培训.
- 在斯坦福医疗保健 (SHC) 的数据集上进行外部验证.
主要成果:
- 在训练和验证组中,EchoNet-Pericardium在检测心周溢血严重程度和心脏坦波纳德方面实现了高AUC.
- 在不同的指标和队列中,AUCs从0.900到0.966不等.
- 在各种患者人口统计学和疾病中观察到一致的表现.
结论:
- 深度学习框架准确地评分心周溢血并检测心脏坦波纳德.
- 该模型证明了在多样化的队列中具有普遍性和一致性.
- 这种自动化工具可以增强临床决策和加快诊断.
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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.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...
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Imaging Studies for Cardiovascular System II:Types of Echocardiography
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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.
Types of Echocardiography
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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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