Cardiovascular Ultrasound | |
Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis | |
Meng Du1  Shuai Chang2  Jia Zhou2  Zhiyi Chen3  | |
[1] Institute of Medical Imaging, University of South China, Hengyang, China;The First Affiliated Hospital, Medical Imaging Centre, Hengyang Medical School, University of South China, 69 Chuanshan Road, 421001, Hengyang, China;The First Affiliated Hospital, Medical Imaging Centre, Hengyang Medical School, University of South China, 69 Chuanshan Road, 421001, Hengyang, China;Institute of Medical Imaging, University of South China, Hengyang, China; | |
关键词: Artificial intelligence (AI); Echocardiography; Segmentation; Functional evaluation; Normalization; | |
DOI : 10.1186/s12947-021-00261-2 | |
来源: Springer | |
【 摘 要 】
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.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO202109176887090ZK.pdf | 1054KB | download |