当前位置: X-MOL 学术Cardiovasc. Ultrasound › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis
Cardiovascular Ultrasound ( IF 1.9 ) Pub Date : 2021-08-20 , DOI: 10.1186/s12947-021-00261-2
Jia Zhou 1 , Meng Du 2 , Shuai Chang 1 , Zhiyi Chen 1, 2
Affiliation  

Ultrasound is one of the most important examinations for clinical diagnosis of cardiovascular diseases. The speed of image movements driven by the frequency of the beating heart is faster than that of other organs. This particularity of echocardiography poses a challenge for sonographers to diagnose accurately. However, artificial intelligence for detection, functional evaluation, and disease diagnosis has gradually become an alternative for accurate diagnosis and treatment using echocardiography. This work discusses the current application of artificial intelligence in echocardiography technology, its limitations, and future development directions. 1. Application of artificial intelligence (AI) in echocardiography is now widely studied, and AI technique has the potential to optimize the diagnostic potential of echocardiography. 2. Application of artificial intelligence in echocardiography is important in the following aspects: recognizing the standard section, cardiac cavity automatic segmentation, functional left ventricle assessment, and cardiac disease diagnosis. 3. Standardized data collection and image annotation are essential for artificial intelligence in echocardiography.

中文翻译:

超声心动图中的人工智能:检测、功能评估和疾病诊断

超声检查是临床诊断心血管疾病最重要的检查之一。心脏跳动的频率驱动的图像运动速度比其他器官更快。超声心动图的这种特殊性给超声医师的准确诊断带来了挑战。然而,用于检测、功能评估和疾病诊断的人工智能已逐渐成为超声心动图精确诊断和治疗的替代方案。本文讨论了人工智能在超声心动图技术中的应用现状、其局限性以及未来的发展方向。1. 人工智能(AI)在超声心动图中的应用现已得到广泛研究,AI技术有潜力优化超声心动图的诊断潜力。2.人工智能在超声心动图中的应用在标准切片识别、心腔自动分割、功能性左心室评估、心脏病诊断等方面具有重要意义。3.标准化数据收集和图像注释对于超声心动图人工智能至关重要。
更新日期:2021-08-21
down
wechat
bug