Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding
Document Type
Article
Publication Title
Informatics
Abstract
The fetal echocardiogram is useful for monitoring and diagnosing cardiovascular diseases in the fetus in utero. Importantly, it can be used for assessing prenatal congenital heart disease, for which timely intervention can improve the unborn child’s outcomes. In this regard, artificial intelligence (AI) can be used for the automatic analysis of fetal heart ultrasound images. This study reviews nondeep and deep learning approaches for assessing the fetal heart using standard four-chamber ultrasound images. The state-of-the-art techniques in the field are described and discussed. The compendium demonstrates the capability of automatic assessment of the fetal heart using AI technology. This work can serve as a resource for research in the field.
DOI
10.3390/informatics9020034
Publication Date
6-1-2022
Recommended Citation
Gudigar, Anjan; Raghavendra, U.; Samanth, Jyothi; and Vasudeva, Akhila, "Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding" (2022). Open Access archive. 4264.
https://impressions.manipal.edu/open-access-archive/4264
