Cardiac magnetic resonance imaging (CMRI) can comprehensively observe the anatomical structure

motion function and tissue characteristics of the heart through multi-parameter and multi-plane sequence imaging

which has become the gold standard for the diagnosis of cardiomyopathy. However

there is a serious shortage of high-level imaging doctors who can diagnose CMRI due to the numerous sequences and difficult fusion of CMRI. To realize the personalized teaching and interactive education

we have designed a platform that could use artificial intelligence to pre-process medical images for clinical diagnosis

and localize the week points of knowledge

thus improving the teaching effect of cardiac imaging diagnosis.