@Article{chd.2025.066358,
AUTHOR = {Juliana Assis Alves, Mayra Martins Melo, Lorenza Machado Teixeira, Nathalie Jeanne Bravo-Valenzuela, Edward Araujo Júnior},
TITLE = {Applications of Artificial Intelligence on Fetal Echocardiography},
JOURNAL = {Structural and Congenital Heart Disease},
VOLUME = {20},
YEAR = {2025},
NUMBER = {3},
PAGES = {369--381},
URL = {http://www.techscience.com/schd/v20n3/62962},
ISSN = {3071-1738},
ABSTRACT = {Congenital heart disease (CHD) is the most common congenital anomaly and a major cause of death among fetal malformations, but prenatal diagnosis is considered to be low. The development of artificial intelligence (AI) in fetal echocardiography has made it possible to automate and standardise the examination, improving the variation in CHD detection rates between different regions and reducing the reliance on operator experience. AI includes any computer program (algorithms and models) that mimics human logic and intelligence, and its use in fetal echocardiography is mainly to acquire and optimise images, perform automatic measurements, identify discrepant values, and diagnose and classify pathologies. In this review, we will look at the different practical applications of AI in fetal echocardiography.},
DOI = {10.32604/chd.2025.066358}
}