There is a relationship between abnormal diastolic vortex structure and impaired LV(left ventricle), and hence vortex identification is
vital for understanding the underlying physical mechanism of blood flow.
In this paper, a novel method of vortex detection based on the convolutional neural
network (CNN) is created, which enables determination of the boundary of vortex and integrates the local
and global flow fields.
The result that their results can accurately indicate the role of vortex formation in intracardiac flow, and provide new insights into the blood flow within the heart structure.

Ke Yang, Shiqian Wu, and Kelvin K.L. Wong, "Analysis of vortex ring formation in the heart chamber by instantaneous vortex deviation based on convolutional neural network", E3S Web of Conferences, 271 (2021) 10.1051/e3sconf/202127103009.