1.
Chinese Journal of Medical Education Research
;
(12): 938-940, 2021.
Article
in Chinese
| WPRIM
| ID: wpr-908923
ABSTRACT
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.