PDF(Pubmed)
Abstract：
Artificial intelligence (AI) has made significant progress in the medical field in the last decade. The AI-powered analysis methods of medical images and clinical records can now match the abilities of clinical physicians. Due to the challenges posed by the unique group of fetuses and the dynamic organ of the heart, research into the application of AI in the prenatal diagnosis of congenital heart disease (CHD) is particularly active. In this review, we discuss the clinical questions and research methods involved in using AI to address prenatal diagnosis of CHD, including imaging, genetic diagnosis, and risk prediction. Representative examples are provided for each method discussed. Finally, we discuss the current limitations of AI in prenatal diagnosis of CHD, namely Volatility, Insufficiency and Independence (VII), and propose possible solutions.
摘要：
在过去的十年中，人工智能（AI）在医疗领域取得了重大进展。人工智能驱动的医学图像和临床记录分析方法现在可以与临床医生的能力相匹配。由于独特的胎儿群体和心脏的动态器官带来的挑战，人工智能在先天性心脏病(CHD)产前诊断中的应用研究尤为活跃。在这次审查中,我们讨论了使用AI解决CHD产前诊断的临床问题和研究方法，包括成像，基因诊断,和风险预测。提供了所讨论的每种方法的代表性实例。最后,我们讨论了目前AI在CHD产前诊断中的局限性，即波动性，不充分和独立（七），并提出可能的解决方案。
