The Use of Artificial Intelligence in Ultrasound Diagnostics of Congenital Malformations of the Fetus: A Review

Timely detection of congenital malformations of the fetus remains one of the urgent problems of modern prenatal diagnostics. The survival rate of children, the volume and quality of medical care during treatment and rehabilitation directly depend on early and reliable diagnosis. In modern medicine, prenatal diagnosis is an obligatory complex of medical manipulations, various methods of examining patients to monitor the health of a pregnant woman and fetus. One of their main methods of radiation diagnosis is ultrasound, as it is non-invasive, safe and informative in the examination of pregnant women. At the same time, neural network analysis technologies are increasingly found in the routine practice of medical professionals. Colleagues have successfully implemented artificial intelligence (AI) in both the scientific and practical medical fields. Today, medical imaging is a part of medicine where the development of various computer technologies, neural network models and other electronic computing programs is extremely relevant. Therefore, the use of artificial intelligence technologies may become a modern solution to improve the quality of prenatal diagnostics. This review collects and analyzes the main foreign and domestic studies on the use of software with functionality in the form of neural network analysis in the ultrasound diagnosis of congenital malformations of the fetus.