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

Author:

YUAN ZHAO1,TANG WEI2,SIHAN FAN1,XINRONG CHEN3ORCID,XUEQIN JI1ORCID

Affiliation:

1. Peking University First Hospital Ningxia Women and Children’s Hospital, (Ningxia Hui Autonomous Region Maternal and Child Health Hospital), Ningxia 750001, P. R. China

2. Academy for Engineering and Technology, Fudan University Shanghai 200032, P. R. China

3. Academy for Engineering and Technology, Fudan University Shanghai Key Laboratory of Medical Image, Computing and Computer Assisted Intervention, Shanghai 200032, P. R. China

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.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Biomedical Engineering

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