Research progress of artificial intelligence in cardiac imaging diagnosis

Machine learning and deep learning of artificial intelligence can be used to accurately diagnose and classify diseases by training with clinical data. The two technologies have their own advantages in cardiac imaging diagnosis. The main applications of artificial intelligence in cardiac imaging are cardiac segmentation and rapid imaging in echocardiography, CT, MRI, SPECT, and PET. The techniques promote in-depth research on low radiation dose scanning, automatic and accurate data measurement, and evaluate patients' prognosis. This paper introduces the basic principle of artificial intelligence, and summarizes the research progress of artificial intelligence applied in different imaging modalities. (authors)