ARTIFICIAL INTELLIGENCE-BASED FETAL CONGENITAL HEART DISEASE DIAGNOSTICS: A SURVEY OF STATE-OF-THE-ART TECHNIQUES

Abstract

With the development of computer technology and neural networks, artificial intelligence (AI) has become sufficiently mature to assist in various technical and medical tasks, including the prenatal diagnosis of congenital heart disease (CHD). Moreover, the AI-based approach to solving this challenge has provided new ideas, concepts, and techniques. This review focuses on fetal CHD and conventional methods of its diagnostics, highlights the main achievements and particular techniques of AI application to CHD diagnostics, and discusses their advantages, drawbacks, and ways of further improvement regarding CHD and other heart disease.