Why the study?
The high speed of cardiac motion poses diagnostic challenges for sonographers, making artificial intelligence an emerging alternative for accurate detection, functional evaluation, and disease diagnosis in echocardiography.
This review highlights the growing role of artificial intelligence in improving the accuracy of echocardiographic detection, functional evaluation, and diagnosis.
AI may aid accurate echocardiography amid rapid cardiac motion; leaves open need for prospective validation before clinical use.
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.
No takes yet. Share an insight, caveat, or question.
Zhou et al. (2021) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: