Echocardiograms contain rich, complex multidimensional data, making analysis challenging. To address limitations of traditional deep learning models, the authors present Echo-Vision-FM, a self-supervised video learning framework for large-scale echocardiogram data, achieving high accuracy in capturing clinically meaningful patterns.
- Ziyang Zhang
- Qinxin Wu
- Jiancheng Ye
