TY  - EJOU
AU  - Alves, Juliana Assis 
AU  - Melo, Mayra Martins 
AU  - Teixeira, Lorenza Machado 
AU  - Bravo-Valenzuela, Nathalie Jeanne 
AU  - Júnior, Edward Araujo 

TI  - Applications of Artificial Intelligence on Fetal Echocardiography
T2  - Structural and Congenital Heart Disease

PY  - 2025
VL  - 20
IS  - 3
SN  - 3071-1738

AB  - 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.
KW  - Fetal echocardiography; artificial intelligence; congenital heart disease

DO  - 10.32604/chd.2025.066358